79 results about "Fingerprint alignment" patented technology

A fingerprint authenticating system includes a fingerprint registering unit and a fingerprint collating unit. The fingerprint registering unit takes a first fingerprint data indicating a first portion of a first fingerprint from a first fingerprint sensor, registers said first fingerprint data to a memory unit, and takes a second fingerprint data indicating a second portion of a second fingerprint from a second fingerprint sensor. The fingerprint collating unit collates said second fingerprint data with said first fingerprint data to confirm whether or not said first fingerprint is equal to said second fingerprint. Here, an area of the first portion is equal to or larger than an area of the second portion.

The invention relates to an embedded single safety chip biological fingerprint recognize system and relative method, wherein said safety chip contains chip operation system, internal micro processor, volatile memory and non-volatile memory, safety module and other manage module; the fingerprint collecting, processing and comparing modules are arranged inside the safety chip; the output of fingerprint sensor is connected to the fingerprint collecting module, the fingerprint processing module, and the fingerprint comparing module; and the inventive method comprises: collecting the original image information of fingerprint; extracting fingerprint character information to generate recognize code, to judge if initializing fingerprint register setting, and store recognize code into non-volatile memory of safety chip based on judged result, or extract the recognize code stored in the safety chip to be compared. The invention has high dual-factor safety and reliability, high stability and wider application.

The present invention belongs to the computer biometrics technology and relates to a method and a system which adopt certainty coding to accurately match fingerprints during the process of fingerprint comparison. The present invention has the accurate matching by using characteristic of the certainty coding that a characteristic area can be selected from the fingerprint image and the characteristic value corresponding to the characteristic area, such as the total length of fingerprint ridge line, the entropy of the main direction of the direction field of the ridge line and the direction field of the pixel point, to conduct matching work. The certainty coding method and the fingerprint identification system built by the method overcome the defects, such as low accuracy rate and potential safety problems which are caused by adopting fuzzy matching algorithm in the traditional point fingerprint identification system.

The invention discloses a fingerprint storage comparison system based on behavioral analysis, and relates to the field of fingerprint comparison. The system comprises an upper level server and a plurality of sub servers in comparison regions. The upper level server comprises a signaling control module, a fingerprint database which is not commonly used and an all fingerprint database backup module. The signaling control module is used for forwarding and responding to all signaling and controlling transmission of instructions, the fingerprint database which is not commonly used is used for storing storage and comparison of fingerprint modules which are not commonly used in a management region, the all fingerprint database backup module is used for backing up all fingerprint modules in the region, each comparison region comprises a sub server and a plurality of local nodes, and each sub server also comprises a signaling control module, a fingerprint database which is not commonly used and an all fingerprint database backup module. The fingerprint storage comparison system can effectively reduce the comparison range, shortens comparison time and improves comparison efficiency.

The invention relates to a method for reducing the false reject rate of fingerprint comparison. The method comprises the following steps of: extracting fingerprint characteristics by a fingerprint sensor; quickly searching in a plurality of templates, and comparing the templates with the existing template to obtain the highest comparison score; and judging whether comparison passes according to acomparison passing rule, and replacing the templates or not according to an auxiliary template replacement rule. The method has the advantages that: an auxiliary template is added and dynamically updated in an application process, so the capacity for environmental adaptation of the sensor is greatly improved, anti-aging capacity is improved, the range of a comparison object is expanded, and the false reject rate is effectively reduced; the fingerprint characteristics in a fingerprint comparison auxiliary threshold interval are required to be compared with fingerprint templates one by one; andwhen more than two characteristic comparison scores are in the fingerprint comparison auxiliary threshold interval, comparison is determined to pass, so the false reject rate of the fingerprint comparison is effectively reduced under the condition that no false accepting is guaranteed.

The invention provides a method for fingerprint alignment, a fingerprint acquisition device and a fingerprint alignment device, wherein the method for the fingerprint alignment comprises the following steps of: extracting a knuckle line from a two-dimensional fingerprint image; calculating a position relation between the extracted knuckle line and a prestored knuckle line; and aligning the extracted knuckle line with the prestored knuckle line according to the position relation so that a fingerprint containing knuckle texture aligns with a prestored fingerprint. The method for the fingerprint alignment performs contrast calculation on the extracted knuckle line and the prestored knuckle line by extracting the knuckle line, and acquires an angle between the extracted knuckle line and the prestored knuckle line, thereby achieving the aim of aligning fingerprints by rotating the angle. The method only needs to realize the coincidence of the extracted knuckle line and the prestored knuckle line, avoids the complexity of the process that the prior method for the fingerprint alignment needs to match minutiaes, shortens the time of the fingerprint alignment, and improves the efficiency of the fingerprint alignment.

The invention relates to a fingerprint eigenvalue encryption-decryption system which comprises a fingerprint sensor, a nonvolatile store and a fingerprint encryption-decryption chip. The fingerprint encryption-decryption chip comprises a special interface of the fingerprint sensor, a fingerprint matching module, a fingerprint eigenvalue extracting module, a special channel of the fingerprint matching and the fingerprint eigenvalue extracting, a bus interface of the fingerprint eigenvalue extracting module, a fingerprint comparing module, a bus interface of the fingerprint comparing module, an interface of the nonvolatile store, a controller, a bus interface of the controller, a communication port, an internal bus. The fingerprint encryption-decryption chip also comprises an encryption-decryption module, a one time programmable program store, a bus interface of the encryption-decryption module and a bus interface of the one time programmable program store. The invention can improve the safety of the fingerprint eigenvalue and enhancing the safety level. The integration of the fingerprint eigenvalue extracting, the fingerprint comparing and the encryption-decryption reduces the cost of the system; the system solves the safety problem of remote transmission of the fingerprint eigenvalue, thus leading a fingerprint database to be easily centralized and conveniently managed and searched.

To enable extraction of a specific area (pattern area) that includes a characteristic part of the inherent pattern of individual fingerprint from an inputted fingerprint image of a human being or other creature. The pattern area is extracted as the minimum area that is surrounded by a right pattern area slope, a left pattern area slope, and pattern area bases. The right (left) pattern area slope is a fingerprint ridge which runs towards the outside on the right (left) side from the start point that is located on the upper side of the center point of the fingerprint image, and satisfies a prescribed condition. The pattern area base is a fingerprint ridge which runs on the lower side of the center and satisfies a prescribed condition.

Provided is a motor fingerprint identification device and a method, wherein a fingerprint identification module and a controller which are connected to a firing circuit of the motor are arranged on a car body of the motor, and main control fingerprints are presupposed and stored in the module. When a user starts the fingerprint identification module and executes locking action, the next time when starting the motor, the user is required to perform fingerprint alignment identification, if the alignment result matches with the fingerprint used for locking originally, the motor is allowed to start, otherwise start is inhibited, thereby preventing the motor from thieving.

The invention discloses a method for verifying software completeness. The method comprises the following steps: acquiring path of a loaded executable file through capturing system call of an upper operation system in a virtual machine monitor; acquiring a Hash value of the executable file according to the path of the executable file; comparing the Hash value of the executable file with software fingerprints in a fingerprint bank; and carrying out completeness verification on the executable file according to the result of fingerprint comparison. The invention also discloses a software completeness verification system. The method and the system for software completeness verification realize software completeness verification in the virtual monitor, is independent of the operation system without depending on completeness of the operation system, improves security of the system, and has universality and compatibility. The technical proposal belongs to completeness verification of softwarein loading period, reduces verification cost without support of auxiliary hardware, reduces cost and improves performance compared with the method for verifying completeness of a file system.

The invention provides a non-contact fingerprint identification method and device, a terminal and a storage medium. The method comprises the following steps: a finger identification step of shooting ahand of an identification object, judging whether a finger exists in a shot picture or not, and determining the position of the finger when the finger exists; a fingerprint acquisition step of performing focusing photographing on the finger under the condition that the finger is detected in the finger identification step, and acquiring respective fingerprint images of the finger; an image transmission step of encrypting the fingerprint images of the fingers acquired in the fingerprint acquisition step, and transmitting the encrypted fingerprint images to a comparison system; a fingerprint comparison step: comparing the fingerprint image with fingerprint data in the comparison system to obtain a comparison result. According to the method disclosed in the invention, non-contact fingerprintidentification can be realized, and the user experience is improved.

The invention provides a fingerprint identification and verification system and a method thereof. The fingerprint identification and verification system includes a Bluetooth fingerprint device, an application device, a fingerprint identification server, and an application control device. The Bluetooth fingerprint device captures a fingerprint image, extracts the minutiae data from the fingerprint image, and sends the minutiae data to the application device. The application device transmits the minutiae data and a verification request to the application control device and the application control device transmits the minutiae data to the fingerprint identification server to perform the fingerprint identification process. The fingerprint identification server sends a verification result on which the application control device depends to accept or refuse the verification request from the application device. As a result, the speed of the user's identification process can be increased by using the Bluetooth fingerprint device to derive the minutiae data.

The invention discloses an alignment-free fingerprint matching method based on an encrypted circuit. The alignment-free fingerprint matching method based on the encrypted circuit comprises the steps that a detail point template set of fingerprints and an onsite sample detail point set are established, a line characteristic set OT and a local structure characteristic set DT are established based on the detail point template set, and a line characteristic set OQ and a local structure characteristic set DQ are established based on the onsite sample detail point set; point-by-point comparison is carried out on elements in the line characteristic set OT and elements in the line characteristic set OQ and on elements in the local structure characteristic set DT and elements in the local structure characteristic set DQ, and thus an NT*NQ matrix UO and an NT*NQ matrix UD are formed; similarity computing is carried out on the matrix UO and the line characteristic set OQ, the similarity computing is carried out on the matrix UD and the local structure characteristic set DQ, and the matching of the fingerprints is completed according to similarity. The invention discloses a computing circuit at the same time. The alignment-free fingerprint matching method based on the encrypted circuit and the computing circuit achieve the purpose that the fingerprint matching can be achieved without fingerprint alignment on the basis that private data of users and private data of authentication servers are protected.

The invention discloses a multi-path depth encoded information fingerprint extraction method based on the bit space. The method comprises a first step of constructing a bit window; a second step of constructing a bit plane; a third step of reducing dimensions and constructing a bit chain; a fourth step of encoding the bit chain; and a fifth step of comparing fingerprints. The fourth step includes conducting transversal and statistics for the constructed bit chain with reduced dimensions, acquiring the number of continuous 0 and the number of continuous 1 in sequence, and constructing a new decimal sequence of number; and binarizing the obtained decimal sequence of number to obtain a new binary bit chain with the first bit not being 0, repeating the transversal and statistics operation for the obtained bit chain, carrying out loop iteration in sequence until the newly obtained decimal sequence of number has only one element, and recording the value of the element obtained at last and the number of times of loop iteration as a feature value of an information fingerprint feature space The invention has the advantages of improving the efficiency in the same information detection and the like.

The invention relates to a small-area fingerprint image feature extraction method and system, a terminal and a storage medium, belongs to the technical field of fingerprint identification, is appliedto small-area fingerprint feature information extraction, and comprises the following steps: S1, acquiring a fingerprint image; s2, preprocessing the fingerprint image, separating a foreground regionand a background region of the fingerprint image, obtaining data information of the foreground region, and performing classification filtering processing on the fingerprint image according to the datainformation of the foreground region; s3, extracting key feature points, performing block division on the fingerprint image, selecting the key feature points according to data information of a fingerprint image foreground area in a corresponding block, wherein the data information of the fingerprint image foreground area comprises curvature information of pixel points; and step S4, screening of key feature points: screening out the key feature points with good stability through comparative analysis. The method is used for solving the problem of insufficient extraction of small-area fingerprint feature information, is effectively suitable for small-area fingerprint comparison and has good reliability.

The invention relates to the technical field of chemical detection of cigarettes, and especially provides an identification method for oil stained cigarettes. The GC / MS identification method for oil stained cigarettes comprises the following steps: 1) collecting a plurality of types of oil directly related to production of cigarettes and respectively dissolving and extracting the types of oil with ethyl acetate; 2) adjusting GC / MS parameters, carrying out gas phase / mass spectrometry detection on the extracted solutions of oil, establishing different chromatograms to form a chromatogram database, and determining fingerprints; 3) taking cigarette papers having oil stains, immersing the cigarette papers with ethyl acetate, carrying out extracting, concentrating the extract with a distillation apparatus, and carrying out gas phase / mass spectrometry on the concentrate to obtain a chromatographic fingerprint; 4) comparing fingerprints of the chromatographic fingerprint of oil stained cigarettes with fingerprints in the established chromatogram database to identify which oil stain is on the oil stained cigarettes. The invention enables fast and effective identification of oil stains generated in the production of cigarettes, provides a basis for identifying a problematic process in the production of cigarettes, and allows problematic cigarettes to be traceable.

The invention provides an application system fingerprint login method and system based on a domestic CPU and an operating system, belonging to the field of fingerprint authentication technology, the method is based on domestic CPU and operating system environment; fingerprint collection and fingerprint comparison services which can be operated independently are provided; fingerprint registration and fingerprint authentication login of an application system user are realized; a complete rich service interface required by a service process from fingerprint collection, fingerprint registration to initialization, addition, deletion and fingerprint comparison verification of a 'fingerprint template library 'is provided for the outside; encrypted transmission is carried out on the fingerprint template in the transmission process, and a simple, convenient, safe and stable application system login solution based on a domestic CPU and an operating system environment is provided.

The invention relates to a method for reducing the rejection rate of fingerprint comparison. The fingerprint feature is extracted by a fingerprint sensor, quickly searched among many templates, and compared with the existing templates to obtain the highest comparison score; the comparison is judged according to the comparison passing rules Whether it is passed, the template is replaced or not replaced according to the secondary template replacement rules. The beneficial effects of the present invention are: the auxiliary template is added, and the auxiliary template is dynamically updated during the application process, which greatly improves the adaptability of the sensor to the environment, improves the anti-aging ability, and increases the range of comparison objects to effectively The rejection rate is reduced; at the same time, the fingerprint comparison assists the threshold interval. The fingerprint features in this interval need to be compared with the fingerprint template one by one. If the comparison scores of more than two features are found within this interval, the comparison Yes, this effectively reduces the rejection rate of fingerprint comparison while ensuring that no false identification is made.

The invention discloses an image big data similarity comparison method, and the method comprises the steps: capturing the image data to be compared through a crawler capture technology and big data search, analyzing and processing the captured image data and storing the image data in a structured mode, and performing classification comparison according to attributes of images, wherein the comparison process is that the features contained in the images are calculated a set of fingerprints are generated and the fingerprints of the images are compared to judge the similarity of the images; therefore, the image recognition efficiency can be improved, the method can be combined with big data, and the comparison of the similarity of the images in the big data range is achieved.

An embodiment of the application discloses a fingerprint storage method, and an authentication method, device and system, and the fingerprint storage method comprises the following steps of a smart door lock monitors an ID card information input event, and obtains a user's ID card information from the ID card information input event, wherein the ID card information includes the user's ID number and fingerprint information; the smart door lock obtains an authentication result of the ID number; and if the authentication result indicates that the ID number has pass the authentication, the smart door lock stores the fingerprint information, wherein the fingerprint information is used to trigger the smart door lock to be unlocked when the comparison with the collected request unlock fingerprintindicates a success. The above scheme is used to not only realize the user self-entering of the fingerprint and reduce the management cost, but also reduce the risk of remote transmission of the fingerprint. Compared with the direct fingerprint entry method, the invention is simpler and can guarantee the integration of person and witnesses.

The present invention belongs to the computer biometrics technology and relates to a method and a system which adopt certainty coding to accurately match fingerprints during the process of fingerprint comparison. The present invention has the accurate matching by using characteristic of the certainty coding that a characteristic area can be selected from the fingerprint image and the characteristic value corresponding to the characteristic area, such as the total length of fingerprint ridge line, the entropy of the main direction of the direction field of the ridge line and the direction field of the pixel point, to conduct matching work. The certainty coding method and the fingerprint identification system built by the method overcome the defects, such as low accuracy rate and potential safety problems which are caused by adopting fuzzy matching algorithm in the traditional point fingerprint identification system.

The invention discloses card reader auxiliary equipment and a working method thereof, and belongs to the field of card readers. Whether a card exists or not is detected through the card reader auxiliary equipment based on the card reader non-contact field, the card reader auxiliary equipment opens the self non-contact field when detecting that the card exists, enough field intensity is provided for the fingerprint card, fingerprint comparison of the fingerprint card can be completed, the card reader auxiliary equipment obtains the current time of the timer, whether the current time is greaterthan a first preset time is judged, and if so, the own non-contact field is closed. According to the invention, fingerprint comparison of the card can be realized without upgrading the card reader, sothat communication between the card and the card reader can be completed smoothly.

The invention relates to an interference source individual identification method based on envelope fingerprint features and belongs to the technical field of target identification. The method comprises the following steps of 1) establishing a radar interference source signal model; 2) establishing a simulation model of a wireless channel; 3) extracting a leading edge feature enveloped by a radar interference source signal as a fingerprint feature identified by a radiation source individual; 4) repeating the step 3), extracting the envelope leading edge feature of each radar interference source signal, and establishing an envelope fingerprint feature library; 5) processing the radar echoes to obtain envelope fingerprint features of the standard radar echoes; 6) identifying active interference signals, and classifying the active interference signals into suppressing interference and deceptive interference; and 7) receiving and analyzing the echo envelope fingerprints of the deceptive interference identified in the step 6), and comparing the echo envelope fingerprints with the envelope fingerprints in the envelope fingerprint feature library in the step 4). The method is simple and convenient; scientific basis is provided for electronic system design, and identification efficiency is improved.

The invention discloses an efficient data deletion method based on source end deduplication. In the backup process, a data stream of a source end is segmented into data blocks, fingerprints are calculated, the fingerprints are compared, if the fingerprints do not exist, it is indicated that the data stream is a new block, the corresponding data blocks are transmitted to a container of a server tobe stored, the corresponding container is marked as 1, the container is written into a data file after the container is full, and then a new container is created; automatically clearing up the expiredbackup set, and clearing up the guid object record; and performing data block and fingerprint cleaning on the container marked as 0 by utilizing a preset cyclic deletion logic in idle time beyond thenormal service window period, wherein the container marked as 0 indicates that the data block and the fingerprint in the container can be cleaned when not being referenced. The method has the advantages that a marking mode is adopted, the statistical logic is simpler, the cleaning logic is not influenced by the size of the deduplication library, and the method is more efficient.

The invention discloses an integrated computer based on an Shenwei 421 processor and relates to the technical field of computers. The computer comprises a case, wherein a mainboard, a hard disk, a display screen, a biological recognition module and a gravity sensing module are arranged in the case, an SW 421 processor, a CPLD control chip, a memory, domestic UEFI firmware and a display card are arranged on the mainboard, the display screen is embedded in a front panel of the case, and the display screen is connected with the display card and used for displaying a user interface; the biologicalrecognition module is used for carrying out biological recognition to determine whether to log in the operating system or not and comprises an image collector and a fingerprint recognition module, the image collector is used for shooting an image of a user for face recognition, and the fingerprint recognition module is used for collecting fingerprints for fingerprint comparison and recognition; the gravity sensing module is used for sensing rotation of the case and sending out a screen rotation instruction to adjust the display direction of the display screen.

The invention discloses a web system data transplantation prevention method based on an asymmetric encryption algorithm. The method comprises the following steps: S1, a user logs in a system through a browser 1, reads a unique data calculator machine code and calculator feature information of a client through a client fingerprint generator to generate a client fingerprint, and stores and binds the client fingerprint with the user and the browser; S2, the client fingerprint is combined with the current time and the public key to encrypt and generate a string of character strings, and the character strings are client signatures; S3, a server interface is visited, and when a normal interface accesses a server, a client signature and a server private key are carried for encrypting to obtain a fingerprint and time; S4, the parameter is copied to access the server interface through the browser 2, and if the verification of the client fingerprint verifier is not passed, the service response fails. The method has the characteristics of preventing pretending, authenticating identity and preventing parameter tampering, and a timestamp comparison and fingerprint comparison technology exists, so that replay attacks can be prevented when the data of the previous timestamp is invalid.

The invention provides a picture fingerprint comparison method and a device based on a large integer type, equipment and a medium, and the method comprises the steps: setting a large integer type with a user-defined byte length to store a picture id of M bytes and a picture fingerprint of N bytes, and forming storage data of at least M + N bytes; arranging the storage data according to a sequence from small to large, and sequentially storing the storage data into corresponding files with different ranges and sizes; obtaining to-be-compared storage data stored in the same way, and positioning a target file matched with the range size of the to-be-compared storage data according to the high X bits of the N bytes of the fingerprint of the to-be-compared storage data; if target storage data with the same high X bits are stored in the file, counting the M-bit picture id corresponding to the target storage data to be hit by the fingerprint for one time. According to the method, a large integer type with an adjustable length is set, so that storage and comparison are facilitated, and the efficiency of picture storage and picture fingerprint comparison is greatly improved.

The embodiment of the invention discloses an unlocking method, which is used for realizing a double insurance mechanism of a service library so as to improve the use safety of the service library. The method provided by the embodiment of the invention comprises the following steps: when the central control board receives a fingerprint comparison passing notification sent by a bank background, the central control board receives random number information from a target lock body; the central control board sends the random number information to the password host to generate unlocking code information of the target lock body; and the central control board sends the unlocking code information to the bank background, so that the bank background carries out unlocking processing on the target lock body.