129 results about "Signature recognition" patented technology

A system for empirically diagnosing a condition of a monitored system. Estimates of monitored parameters from a model of the system provide residual values that can be analyzed for failure mode signature recognition. Residual values can also be tested for alert (non-zero) conditions, and patterns of alerts thus generated are analyzed for failure mode signature patterns. The system employs a similarity operator for signature recognition and also for parameter estimation. Failure modes are empirically determined, and precursor data is automatically analyzed to determine differentiable signatures for failure modes.

Systems and methods for unsupervised indoor localization are provided. Sensor data obtained from a device carried by a user can be used to simultaneously estimate the indoor location of a user and identify landmarks within the indoor environment based on their signatures. The landmarks can be used to reset the location estimate of the user, and the location estimate of the user can be used to improve the learned location of the landmarks. This recursive process leads to excellent accuracy in indoor localization. Systems and methods for estimating the heading direction of a user are also provided. Sensor data obtained from the user can be used to analyze the forces acting on the user in order to give an accurate heading direction estimate.

One embodiment of the present invention provides a system that identifies a failure mechanism for a component. The system first constructs a library of failure signatures from a set of components, wherein each failure signature in the library characterizes a known failure mechanism associated with a component in the set of components. Next, the system receives a telemetry signal which is measured from a component under surveillance. The system then determines if there is an anomaly in the telemetry signal. If so, the system performs pattern-matching operations between the telemetry signal and failure signatures in the library. Next, if a match is found, the system identifies the failure mechanism for the component under surveillance based on the matching failure signature.

The present invention discloses a system and methods for biometric security using signature recognition biometrics in a smartcard-reader system. The biometric security system also includes a signature scan sensor that detects biometric samples and a device for verifying biometric samples. In one embodiment, the biometric security system includes a smartcard configured with a signature scan sensor. In another embodiment, the system includes a reader configured with a signature scan sensor. In yet another embodiment, the present invention discloses methods for proffering and processing signature samples to facilitate authorization of transactions.

The invention discloses a method for recognizing a handwritten signature, which comprises the following steps: acquiring signature data and preprocessing the same; extracting global characteristic information and local characteristic information of the signature data; matching the global characteristic information with the global characteristic information of a preset signature sample and judging whether a first preset condition is satisfied; and if the first preset condition is satisfied, matching the local characteristic information with the local characteristic information of the preset signature sample; if the first preset condition is not satisfied, returning to the result of the failed matching directly; and if the matching result of the local characteristic information satisfies a second preset condition, returning to the result of the successful matching. The method can improve the efficiency and the accuracy of handwritten signature recognition so that a user can obtain a better using experience.

This disclosure provides systems, methods and apparatus for a combined sensor device. In some implementations, the combined sensor device may enable a single touchscreen to perform additional functions such as handwriting input and fingerprint recognition. In some implementations, these multiple features allow increased security through user authentication, and allow better capture of handwriting and a more interactive approach to user interfaces. A handheld mobile device such as a cell phone with the combined sensor device can enable an array of applications, such as using the mobile device as a gateway for user authentication to enable transactions and physical access; using the handwriting input function for signature recognition and transmittal for transaction applications; and/or using the handwriting input feature to automatically capture notes and other documents of students in an academic setting or employees in a corporate setting.

A system and method is provided that simultaneously or consecutively collects DNA samples and ridge and valley signatures from the same subject during the same collection window that adds value to forensic data collection processes. The collection of the DNA samples and ridge and valley signatures occur during the same collection window to assured the DNA sample and ridge and valley signatures identify the same individual.

There is disclosed a system and method of formulating a batch comprising at least two ingredients. An embodiment is disclosed wherein a feedforward algorithm can be used to control the target blend. Subsequently a feedback closed loop control loop algorithm is provided for a multivariant blend. Use of this approach allows for a continuously autoreplenished and controlled blend. Another enhancement disclosed is the ability to control via feedforward and feedback algorithms a fast responding control mode which allows for the elimination of a tank. This approach will allow for “one pass” blending with control. Feedback control can be provided via process indicators or through analytical or parametric methods. The controller implements an automated fault detection and correction system, thereby identifying necessary maintenance prior to failure. If failure does occur the signature recognition allows rapid analysis and correction thus maximizing tool availability.

Automated defect sourcing system identifies root-causes of yield excursion due to contamination, process faults, equipment failure and/or handling in timely manner and provides accurate timely feedback to address and contain the sources of yield excursion. A signature bank stores known wafer surface manufacturing defects as defect signatures. The signature of a manufacturing defect pattern is associated with a type of equipment or process, and used to source the manufacturing defects and to provide process control for changing and/or stopping yield excursion during fabrication. A defect signature recognition engine matches wafer defects against the signature bank during wafer fabrication. Once the defect signature is detected during fabrication, handling and/or disposing the root-cause of the corresponding defect is facilitated using messages according to an event handling database. Optionally, a real-time process control for wafer fabrication is provided.

The invention is a method and device for improving synchronous detecting precision, used in synchronous detection based on ascending time gap in CDMA system, and its method includes the steps: antenna data segment obtaining to determine the data segment where the synchronous code exists; matching filtration: for detecting if there is ascending synchronous access at protective intervals and ascending guide frequency time gap intervals, firstly making shift relation between NSYNC_UL ascending synchronous codes and with antenna received data at protective intervals and ascending guide frequency time gas intervals and obtaining related power sequence; signature identification: detecting and judging the total related frequency sequence and only in the situation of meeting preset detecting conditions can it determine there is ascending synchronous access; fast physical access channel arrangement: making priority processing according to many ascending synchronous signatures in each subframe. It gives a multiple sampling-based method and device fro improving synchronous detecting precision, improving the synchronous detecting precision.

A computer implemented method, apparatus, and computer program product for generating neuropsychiatric diagnoses. Quantitative information describing diagnostic characteristics associated with a patient is generated based on an analysis of a set of patient scans. The quantitative information comprises a set of indictors associated with regions of interest in the set of scans for the patient. The set of indicators of potential neuropsychiatric conditions is compared with a set of diagnostic signatures. A diagnostic signature comprises a set of indicators of a known neuropsychiatric condition. Matching signatures are identified. A matching signature is a diagnostic signature that corresponds to at least one indicator in the set of indicators to form a set of signatures. A diagnosis associated with each signature in the set of signatures is identified to form a set of potential diagnoses. The set of potential diagnoses is presented with links to relevant portion of the medical literature.

The present disclosure relates to using signatures in a data loss prevention system. According to one embodiment, a DLP system identifies an occurrence of a data loss prevention (DLP) incident triggered by content and a DLP rule. The DLP system generates a first signature representing the DLP incident based on a specific pattern inherent to the content which triggered the DLP incident. The DLP system compares the first signature to one or more second signatures generated from other DLP incidents associated with the DLP rule. Upon determining the first signature matches at least one of the second signatures, the DLP system assigns an event status of the second matching signature to the first signature.

The invention relates to a recognition method and a recognition device based on biological characteristics. According to the recognition method, wavelet packet multilayer decomposition characteristic parameters are used for generating new frequency characteristic quantities; due to the fact that wavelet coefficients have a large difference, energy of signals at all decomposition nodes not only can reflect energy distribution of the signals in all frequency bands, but also has translation invariance, as a result, the frequency characteristic quantities can highly reflect user characteristics and improve the recognition rate of user signatures; and further, fingerprint characteristics and handwritten signature characteristics are combined, fingerprint information is collected while a user gives a signature, and therefore a high recognition rate of fingerprints is used for making up for a low high recognition rate of handwritten signatures. Accordingly, a handwriting pen provided with a fingerprint collection module at the pen holding end in an inlaid mode is used, and therefore the fingerprint information of the user can be collected while the user gives the signature, namely two types of information can be collected at the time of one action. A biometric feature recognition system which combines the fingerprints and the handwritten signatures and is studied out according to the thinking is high in recognition rate and acceptability.

A method is provided for validating an individual's identity by using a combination of a RFID card, signature captured by a touch screen computer, and a facial photo captured by a built-in camera of a touch screen computer. Using third party biometric signature recognition algorithms and facial recognition algorithms are preferred to differentiate the differences between a sample signature and facial photo referenced by a RFID card value.

An access point is identified based on a plurality of pilot signatures. Here, in addition to transmitting a pilot signal that is encoded (e.g., spread/scrambled) using a particular pilot signature, an access point transmits a message that includes at least one indication of at least one other pilot signature. For example, an access point may use one PN offset to generate a pilot signal and transmit a message that identifies at least one other PN offset. An access terminal that receives the pilot signal and the message may then generate a pilot report that identifies all of these pilot signatures. Upon receiving a handover message including this pilot-related information, a target network entity with knowledge of the pilot signatures assigned to that access point may then accurately identify the access point as a target for handover of the access terminal.

The invention provides a hand-written signature identifying method based on a PCA method. The hand-written signature identifying method includes the steps of S1: obtaining original hand-written signatures, and storing the original hand-written signatures as signature images with uniform pixel format; S2: training the hand-written signature samples, taking the original signature images as an image training set, conducting gray processing for the images in the image training set and placing the processed images sequentially in a matrix, conducting special dimension reduction for images through the PCA method and extracting characteristic values and characteristic vectors to obtain the characteristic signature Y of the training sample set; S3:identifying a hand-written signature by using a nearest neighbor method, projecting the hand-written signature to be identified on a characteristic projection matrix U obtained from S2 to obtain a characteristic signature Y', comparing the characteristic signature Y' with the characteristic signature Y obtained from the training sample set through PCA projection, and selecting the minimal distance as a matching item. The recognition rate is high.

A method for signature board encryption and encrypted signature composition belongs to the field of identity authentication. The technical proposal of the invention includes providing an encrypted signature board which has a processor module, a USB interface module, a hand-writing scanning module, an encryption/decryption algorithm module, a random number generating module and a safety storage space module, wherein private information of the user is stored in the module of the safety storage space. Connected to a computer, the invention identifies a written signature input by the user with a signature identifying software matched with the computer. The computer adopts public-key encrypted characteristic words, and the encrypted signature board adopts private-key encrypted characteristic words and performs comparison with the characteristic words stored in the safety storage space of the encrypted signature board to realize the protection of electronic signatures and the composite encryption of documents with the hardware encryption of the encrypted signature board and the software encryption of the computer. Mainly applied to the protection field of electronic signatures and personal information of computer users, the invention strengthens the safety and mobility of electronic signature carriers.