1119 results about "Iris image" patented technology

The present invention relates to a face recognition and / or iris recognition system and method using a mobile device equipped with a stereo camera, which acquire a stereo image of a user's face using at least two cameras or a method corresponding thereto and, even when the size of the stereo image is varied according to distance, correct the size of the stereo image. The stereo camera uses a single-focus lens with a long depth of focus to acquire a focused iris image over a wider range. When the user is not located at a position suitable for iris recognition, a message is sent to the user such that an iris image suitable for recognition is acquired. Furthermore, an iris image correction process according to distance is performed to prevent recognition rate from decreasing even when the size of the iris image is changed.

The present invention relates to a technique for checking if the reflected image of a light emitting diode for lighting is detected in the image of an iris and determining whether the iris is a living one in order to prevent an illegal intrusion using a simulacrum such as a photograph or dynamic image. The object of the present invention is achieved by a first step of imaging an eye of the user when the user approaches the field of view, processing the image signal, and capturing the image of the iris and pupil, a second step of selectively lighting LEDs for lighting installed on the both sides of a camera while imaging the eye of the user and detecting the reflected image of a corresponding LED in the image of the iris and pupil, a third step of determining that the iris is a falsification and informing the system of the fact if the reflect image of a the corresponding light emitting diode is not detected in the above steps, and determining that the iris is really recognized if detected, and a fourth step of performing a recognition of an iris image signal using a database if the iris is proven to be really recognized and determining whether the image is data registered in the database.

Technologies are presented herein in support of a system and method for performing iris identification and verification using mobile devices. Embodiments of the present invention concern a method for authenticating a user with a mobile device that includes steps for capturing imagery of a user's face, analyzing the imagery to identify the portion of the image depicting the user's eyes and segmenting the eye image to isolate the iris image data and encoding the iris image data in iris template. The present disclosure further describes authenticating the user based on the encoded iris template and additional techniques for preventing erroneous authentication caused by spoofing. In some examples, the anti-spoofing techniques may include capturing one or more images of a user's eyes and analyzing the captured images for indications of liveness based on reflection characteristics depicted in the imagery.

The object of the present invention is to provide a photographing device, iris image input device and iris image input method capable of rapidly and accurately acquiring an iris pattern code of a person to be identified regardless of the height of the person to be identified. In order to achieve this object, with an iris image input device of the present invention, a portable photographing device is connected to a recognition unit and a monitor. The person to be identified that is to photograph their iris uses this iris input device in the following manner. The person to be identified takes the photographing device in one hand, lines up the photographing device with the eye with the iris to be photographed and photographs the iris. While doing this, because the iris image of the eye of the person to be identified photographed by the photographing device is displayed at a monitor of the iris image input device, the person to be identified can adjust the position of the photographing device while looking at the image with their other eye in such a manner that the focal point of the photographing device lines up with the eye being photographed. The iris image input device can therefore acquire iris pattern code for the person to be identified rapidly and accurately.

An automated method of performing various processes and procedures includes central and / or distributed iris identification database servers that can be accessed by various stations. Each station may be equipped with a handheld staff-operated iris camera and software that can query the server to determine whether an iris image captured by the iris camera matches a person enrolled in the system. The station takes selective action depending on the identification of the person. In disclosed medical applications, the station may validate insurance coverage, locate and display a medical record, identify a procedure to be performed, verify medication to be administered, permit entry of additional information, history, diagnoses, vital signs, etc. into the patient's record, and for staff members may permit access to a secure area, permit access to computer functions, provide access to narcotics and other pharmaceuticals, enable activation of secured and potentially dangerous equipment, and other functions.

The present invention is to identify an individual from his or her iris captured from an imaging system. Basically the system can be divided into two processes, which are enrollment and verification. Each process consists of four steps. Both processes share the three beginning steps, which are image acquisition, image processing, and feature extraction. Image acquisition is to capture the real iris image of a user. Then image processing is applied to the acquired image. In the next step, the textural information of an iris image is generated into a signature in a process called feature extraction. For an enrollment process, the extracted iris signature will be stored in database for the future use of verification. In a verification process, the last step is to compare the iris signature generated from real time processing with the signatures previously stored. A final decision will be made to determine whether the user is successfully identified or not. The present invention introduces two new methods in the iris recognition algorithm. First, a new method called maximum vote finding method that is used during iris image processing was developed to reduce the time required for localization of inner iris after applying Hough Transform for localization of outer iris. Second, an iris signature based on fractal dimension characterization which is a novel approach used in iris feature extraction process was developed to provide satisfactory matching accuracy of iris images.

Biometric systems capture and combine biometric information from more than one modality, employing digital processing algorithms to process and evaluate captured images having data for a biometric characteristic. Such digital algorithms may include a pupil segmentation algorithm for determining a pupil image in the captured image, an iris segmentation algorithm for determining an iris image in the captured image, an eyelid / eyelash segmentation algorithm for determining an eyelid / eyelash image in the captured image, and an algorithm for measuring the focus on the iris. Some embodiments employ an auto-capture process which employs such algorithms, in part, to evaluate captured images and obtain the best possible images for biometric identification.

A digital camera contains biometric capability to identify a photographer, which is preferably provided by the camera's own optical sensors. The biometric feature is preferably the iris of a photographer's eye, which is recognized as unique for each individual. The camera captures an image of an iris, abstracts a set of distinguishing features, and matches this set to an on-board database. The iris image is preferably captured when the photographer brings his eye in the vicinity of the camera's viewing window, through a combination of mirrors, lenses, prisms, and the like. This capability may be used to record the identity of a photographer with the image, as an anti-theft or privacy device, or to personalize the camera settings.

The invention, which is an embodiment of what the inventor calls, “Active Behavior Enhanced Iris Recognition Authentication”, employs a sequential iris imaging process where the authenticating party directs his or her gaze in specific directions, or closes their eyes for each image, so that an “eye state order” can be used to improve authentication security. Authentication security is strengthened based upon the reduced likelihood that a potential intruder would 1.) know what the correct sequence of eye states (i.e. up, down, left, right, camera view and closed) were associated with the control authentication template; 2.) be able to successfully “hack” the authentication server in order to gain access to the iris image information and also the eye state order information which would be required in order to fully compromise the authentication system. The technique embodied by the invention represents an overlay of a known, ordered sequence, over the iris recognition authentication process itself.

A mobile device is able to capture a plurality of different biometric identifiers of a subject. The mobile device displays a user interface on a screen of the device to guide the user in the capture of valid biometric identifiers. The user interface includes several different displays configured to guide users through the capture process to improve the chance that the user will capture valid biometric identifiers. The user interface includes displays for iris image capture, face image capture, voice capture, and fingerprint capture. The displays streamline the capture process, decreasing the overall knowledge and time required of the user to capture valid biometric identifiers. This also decreases the risk to the user in hostile environments. The device also processes the captured biometric identifiers to determine if they are valid, and updates the display of the user interface accordingly.

The invention relates to an automatic-tracking and automatic-zooming method for acquiring iris images. The method includes the following steps: a camera with wide angle of view, a camera with narrow angle of view (long focus) and an infrared light source are closely installed on a controllable tripod head which drives the two cameras and the infrared light source to rotate simultaneously; a system adopts the camera with wide angle of view to continuously detect facial images of human; when the facial image is available, eye images of human are detected to obtain the exact locations of human eyes; and then the tripod head is controlled to rotate up and down or left and right, which allows that the camera with narrow angle of view and the infrared light source aim at the human eyes; user distance and picture quality are determined simultaneously to control the camera to automatically zoom; when clear iris images are acquired, image processing and iris recognition are carried out and the user identity is determined. A system device comprises a computer, the controllable tripod head, the camera with wide angle of view, the camera with narrow angle of view, the infrared light source, a power supply, an image grabbing card and other auxiliary equipments.

A multimodal biometric identification system captures and processes images of both the iris and the retina for biometric identification. Another multimodal ocular system captures and processes images of the iris and / or the from both eyes of a subject. Biometrics based on data provided by these systems are more accurate and robust than using biometrics that include data from only the iris or only the retina from a single eye. An exemplary embodiment emits photons to the iris and the retina of both eyes, an iris image sensor that captures an image of the iris when the iris reflects the emitted light, a retina image sensor that captures an image of the retina when the retina reflects the emitted light, and a controller that controls the iris and the retina illumination sources, where the captured image of the iris and the captured image of the retina contain biometric data.

The present invention relates to a method for adjusting a focus position in an iris recognition system, the method including the steps of: projecting a designated light for measuring a distance between the user and a camera; acquiring user images including the image projected by the light; and measuring a distance between the user and the camera by extracting the projected image by the light out of the user images and analyzing characteristics of the image. In addition, the present invention relates to an apparatus for adjusting a focus position in an iris recognition system, which enables to adjust the focal angle of an iris, the apparatus includes an illumination device; an iris recognition camera for acquiring user images having an iris image when the illumination device irradiates a light; an illuminator for helping the user with the focal angle according to sharpness of the visible ray that depends on the focal angle by transmitting a visible ray from the illuminator and by reflecting the user images.

An iris image definition estimation system using the astigmatism of the corneal reflection of a non-coaxial light source to assess both the resolution of the iris patterns and the direction of focus adjustment. The corneal reflection results in two virtual images on the meridional and the sagittal planes. These virtual images are formed behind the cornea and close to the iris. Yet, both are projected onto the same location and result in a composite glint area. In addition, the shape of the glint area of a non-coaxial light source varies with different camera focus settings. Furthermore, due to the high intensity of the glint area, the shape can be easily observed, and the size and the shape of the glint area can be used to determine the resolution of the iris image and the direction of focus adjustment, respectively.

A rapid iris acquisition, tracking, and imaging system can be used at longer standoff distances and over larger capture volumes, without the active cooperation of subjects. The captured iris images can be used for biometric identification. Light illuminates the subjects' eyes. Reflections from the eyes are used to steer a high resolution camera to the eyes in order to capture images of the irises.

A method of biometric recognition is provided. Multiple images of the face or other non-iris image and iris of an individual are acquired. If the multiple images are determined to form an expected sequence of images, the face and iris images are associated together. A single camera preferably acquires both the iris and face images by changing at least one of the zoom, position, or dynamic range of the camera. The dynamic range can be adjusted by at least one of adjusting the gain settings of the camera, adjusting the exposure time, and / or adjusting the illuminator brightness. The expected sequence determination can be made by determining if the accumulated motion vectors of the multiple images is consistent with an expected set of motion vectors and / or ensuring that the iris remains in the field of view of all of the multiple images.

A rapid iris acquisition, tracking, and imaging system can be used at longer standoff distances and over larger capture volumes, without the active cooperation of subjects. The captured iris images can be used for biometric identification. Light illuminates the subjects' eyes. Reflections from the eyes are used to steer a high resolution camera to the eyes in order to capture images of the irises.

A rapid iris acquisition, tracking, and imaging system can be used at longer standoff distances and over larger capture volumes, without the active cooperation of subjects. The captured iris images can be used for biometric identification. Light illuminates the subjects' eyes. Eye reflection from the eyes is used to steer a high resolution camera to the eyes in order to capture images of the irises.

A duplex camera with common face and iris imaging optics locates an iris in a scene and images the iris without requiring multiple camera alignment or a rapid zoom capability. A wavelength selective mirror separates the light from an imaged scene into visible and infrared components. The visible component supplies a face image in which an iris location can be determined. Visible light optics and a visible light sensor array provide a scene image to an image processor that determines the iris location. Infrared optics and an infrared sensor produce an iris image centered on the iris location. Upon determining an iris location, a motorized stage can position the iris image in the infrared sensor. The common face and imaging optics allow the image sensors to be permanently aligned to one another.

The apparatus represents a device having one or two sensors for capturing a single image or two images having the subject's eyes, and processor(s) in a housing with the one or two sensors and / or in a computer system which receives the single image or two images. Such processor(s) determine a head tilt angle between a virtual line extending between the two eyes of the subject in accordance with a predefined features associated with the eyes and a dimension characterizing zero head tilt in the single image or two images, segment left and right iris images, and rotate the segmented left and right iris images in accordance with the angle to substantially remove head tilt when present. The apparatus may also determine head tilt using predefined features associated with a single eye in the image. The resulting iris image(s) are utilized for enrollment or identification.

The present invention relates to an apparatus and method for acquiring an image for iris recognition using a distance of a facial feature, the apparatus comprising: a buffer for photographing one or more facial images of a subject being photographed so as to acquire an image for iris recognition and storing the photographed facial images; a facial feature distance calculating unit for calculating a distance of a facial feature from the facial images stored in the buffer; an actual distance estimating unit for estimating an actual distance between the subject being photographed and a camera from the distance of the face feature calculated by the facial feature distance calculating unit, and confirming, from of the estimated distance, that the subject being photographed exists in an iris photographing space; and an iris image acquiring unit for acquiring an eye image from the facial images of the subject being photographed that has been confirmed as existing in the iris photographing space by the actual distance estimating unit, and measuring the quality of the acquired eye image so as to acquire an image for iris recognition, which satisfies a reference level of quality.

The invention relates to an iris recognition system, and more particularly, to an apparatus for approaching the iris images of the both eyes most adjacent within a range beyond which the iris images overlap each other in an iris recognition system using all of the iris images of the both eyes at the same time. The iris recognition system using all of the iris images of the both eyes at the same time adopts an apparatus for narrowing the distance between the iris images of the both eyes acquired in CCD images when the iris images are obtained through photographing the iris images of the both eyes are photographed. The apparatus of the invention comprises iris image focusing means for converting an incident path, whereby the distance between the iris images of the both eyes is narrowed on an optical path along which eye images of the user are focused to a camera, in which the focusing means can be an angled reflector with one side being inclined at an angle about the center.

A method for extracting features of an iris in an image is described. An unwrapped iris image is converted to an integral image by summations of pixel intensities. A novel bank of difference of sum filters is used to filter the integral image. The filtered output is binarized to produce an iris feature vector. The iris feature vector is used for iris matching.

A rapid iris acquisition, tracking, and imaging system can be used at longer standoff distances and over larger capture volumes, without the active cooperation of subjects. Light illuminates the subjects' eyes and a high resolution camera captures images of the irises. The images of the irises are processed by a post processing module to improve their quality. In one approach, the point spread function of the image capture subsystem is estimated using glint reflections from the eye, and the estimated point spread function is used in deconvolution to increase the resolution of the iris images. The post processed iris images have sufficient resolution to be used for biometric identification.

The invention discloses a machine vision based fatigue driving monitoring method and a machine vision based fatigue driving monitoring system. The method comprises the following steps: A1, acquiring a face image of a driver; B1, positioning a human face area according to a pre-trained human face feature classifier based on the face image; C1, positioning a human eyes area according to a pre-trained human eyes feature classifier based on the human face area; D1, acquiring an iris image in the human eyes area; E1, analyzing an eyes closing state based on the iris image; and F1, comparing the eyes closing state and a fatigue standard to judge whether the driver is in a fatigue state. The method and the system detect the human face and the human eyes through the human face classifier and the human eyes classifier respectively, reduce the influence of individual difference on a detection result, reduce the influence of lighting and human face gestures on the detection result, and improve the accuracy of eyes positioning and eyes closing judgment of the driver so as to improve the accuracy of fatigue judgment.

The present invention relates to a method and apparatus for long-range facial and ocular acquisition. One embodiment of a system for acquiring an image of a subject's facial feature(s) includes a steerable telescope configured to acquire the image of the facial feature(s), a first computational imaging element configured to minimize the effect of defocus in the image of the facial feature(s), and a second computational imaging element configured to minimize the effects of motion blur. In one embodiment, the detecting, the acquiring, the minimizing the effect of the motion, and the minimizing the effect of the defocus are performed automatically without a human input.

An iris identification system for confirming identity of a person and method thereof are disclosed. The iris identification system comprises a mode converter for selecting one of registration and identification modes, an image input means, a luminance adjustment module, a registration module, an identification module, a reference iris image storage, and a main control unit. The registration module captures iris images when the registration mode is selected, preprocesses the captured iris image, defines the preprocessed iris image as main, auxiliary, negative main and compensation data, encodes the defined data, and registers the encoded data as data of the reference iris images; The identification module captures an iris image when the identification mode is selected, preprocesses the captured iris image, defines the preprocessed iris image as main, auxiliary, negative main and compensation data, encodes the defined data, and analyzes similarity both data.

Disclosed is an iris identification system and method, and storage media having program thereof. The iris identification system comprising a characteristic vector database (DB) for pre-storing characteristic vectors to identify persons; an iris image extractor for extracting an iris image in the eye image inputted from the outside; a characteristic vector extractor for multi-dividing the iris image extracted by the iris image extractor, obtaining a iris characteristic region from the multi-divided each iris image, and extracting a characteristic vector from the iris characteristic region by a statistical method; and a recognizer for comparing the characteristic vector DB thereby identifying a person.

An optical system includes an active focus element that maintains an image in focus over a range of object distances. The active focus element and aperture stop are positioned such that the image scale and the image spatial resolution are also invariant (or at least have a reduced sensitivity) with respect to object distance.