888 results about "Iris recognition" patented technology

Provided is pupil detection method and shape descriptor extraction method for an iris recognition, iris feature extraction apparatus and method, and iris recognition system and method using the same. The method for detecting a pupil for iris recognition, includes the steps of: a) detecting light sources in the pupil from an eye image as two reference points; b) determining first boundary candidate points located between the iris and the pupil of the eye image, which cross over a straight line between the two reference points; c) determining second boundary candidate points located between the iris and the pupil of the eye image, which cross over a perpendicular bisector of a straight line between the first boundary candidate points; and d) determining a location and a size of the pupil by obtaining a radius of a circle and coordinates of a center of the circle based on a center candidate point, wherein the center candidate point is a center point of perpendicular bisectors of straight line between the neighbor boundary candidate points, to thereby detect the pupil.

The invention describes a welding device (1) or a current source (2), with a control system (4), preferably comprising a microprocessor controller with a memory unit, a power component (3), in particular a current-inverting source, and additional components such as a welding torch (10), a wire feed device (11), etc., which are connected to the welding device (1) or the current source (2) via appropriate interfaces. An add-on module (27) is connected to the control system (4) or to the current source (2) for identifying a person by means of biometric physical characteristics such as an electronic fingerprint, voice recognition, iris recognition, recognition of a facial shape, recognition of writing, etc. or alternatively a transponder code via a transponder system.

A method and apparatus for performing iris recognition from at least one image is disclosed. A plurality of cameras is used to capture a plurality of images where at least one of the images contains a region having at least a portion of an iris. At least one of the plurality of images is then processed to perform iris recognition.

The present invention is a security system that utilizes an identity verification system having a biometrics component, such as but not limited to a face, fingerprint, or iris recognition system. The system connects a biometric data entry device such as a standard analogue or digital camera to a communication control device which captures, compresses and digitizes the biometric data as well as converts data from data input devices and sends the compressed and digitized biometric data along with the data from a data input device to a central processing unit for processing by a biometric recognition system and comparison to stored biometric data.

Disclosed herein is a system and method for iris recognition including stereoscopic face recognition, which can recognize irises including stereoscopic face recognition system in order to recognize an authenticatee. The system includes two or more face recognition cameras for photographing two or more face images of an authenticatee; a recognition system for receiving the face images photographed by the face recognition cameras from the face recognition cameras and creating stereoscopic face information on the basis of the face images; and one or more iris recognition cameras controlled by the recognition system to photograph focused irises of the authenticatee using the created stereoscopic face information.

An imaging apparatus, medium, and apparatus using infrared rays with image discrimination. The imaging apparatus may includes an image sensor optically together sensing a visible light component and an infrared component of an image, and an image processor to recognize an object component of the image. Accordingly, an infrared component cell can be far more easily implemented than conventionally. Also, an object component can be more accurately identified while being less affected by ambient illumination of the object component because an infrared component is used. Furthermore, both iris identification and color image acquisition can be achieved using a single camera by employing the image sensor, which senses the infrared component and the visible light component together. Thus, both the iris identification and the color image acquisition can be incorporated and executed by a single camera. Therefore, the imaging apparatus can be made compact.

(A2) An extended depth of field (DOF) imaging system (10) is disclosed that has a corresponding extended depth of focus (DOF′) by virtue of its optical system (20) having a select amount of spherical aberration. The imaging system has an image processing unit (54) adapted to process the raw images and perform contrast enhancement to form processed images. The image processing includes restoring the defocused modulation transfer functions (MTFs) using a gain function (G) and the amount of defocus. The imaging system can include an illumination system (60) that illuminates the object being imaged to establish a distance (DH) between the optical system and the object, where distance DH is used in the restoring of the MTF. An iris-recognition (I-R) system based on the enhanced DOF imaging system is also disclosed.; Optical system embodiments for use in the DOF imaging system that can provide select amounts of spherical aberration—and thus select increases in DOF—without increasing the adverse impact of other aberrations on image formation are also disclosed.

A method of performing iris recognition from at least one image, comprising: using a plurality of cameras to capture a plurality of images of a subject where at least one of said images contains a region having at least a portion of an iris; and processing at least one of said plurality of images to perform iris recognition; identifying the subject by the iris recognition; determining the security level of the subject from the subject's identity; and modifying the display of a computer system in a secure information facility based on the security level of the subject.

Disclosed is a method to improve iris recognition success ratio and speed by registering the iris code on location of illuminator. In the present invention, iris codes for a single iris generated as many as the number of a plurality of illuminators are registered on an iris database every area corresponding to the location of the illuminator. The iris codes generated one by one whenever the plurality of illuminators are turned on one by one for recognition are searched on the corresponding areas of the iris database to determine the recognition.

Disclosed herein is a system and method for iris recognition including stereoscopic face recognition, which can recognize irises using a stereoscopic face recognition system in order to recognize an authenticatee. The system includes two or more face recognition cameras for photographing two or more face images of an authenticatee; a recognition system for receiving the face images photographed by the face recognition cameras from the face recognition cameras and creating stereoscopic face information on the basis of the face images; and one or more iris recognition cameras controlled by the recognition system to photograph focused irises of the authenticatee using the created stereoscopic face information.

The present invention provides a method for acquiring region-of-interest and / or cognitive information from an eye image, comprising the steps of: preprocessing, standardizing, and coding the group of eye images for region-of-interest information or cognitive information to create eye image codes and to build a characteristic eye library in a memory in order to improve an iris recognition rate; grouping and partitioning or covering eye codes for eye images stored in the characteristic eye library into a plurality of groups, and obtaining a representative eye code of each of the eye code groups, preprocessing, standardizing, and coding a new eye image not assigned region-of-interest information or cognitive information in the same way as the above-described step to create a test eye code, matching the test eye image to the most similar eye image in the characteristic eye library, and transferring the region-of-interest information or cognitive information assigned to the matched eye image to the test eye image. The transferred information is utilized in the preprocessing of the eye image.

One system to identify the multi-mode biologic characteristic status bases on iris and person face. The biology character collection unit gathers pictures of iris and person face by two absolute gather channels and its collection sustaining flat roof makes users with different stature to input iris and person face pictures freely and cozily. The biology character identify unit uses picture disposing and Wavelet transform technology to get character template and to calculate the matching percent of iris characteristic template and mesh degree of person face character template, and get the final identify result by data fusion method. The biology character data bank storage the final inborn character template and congruence iris character template on person face character template to keep the privacy of biology character data and to increase the security of system. It combines biology character, mode identification, data amalgamation and computer technology to identify people figure with low error rate for iris identify and person face identify.

The invention provides an iris identification system with a living body detecting function. The iris identification system comprises light source modules, a light sensing module, and a central control module. The light source modules are used for emitting light to an iris to be detected and / or an area around the iris to be detected according to a preset condition including an illumination waveband, an illumination spectrum, the number of the light source modules, the distance between the multiple light source modules, and the distance between each light source module and the light sensing module. The light sensing module is used for acquiring image information of the iris to be detected after the light irradiates the iris to be detected. The central control module controls the operation of the light source modules and the light sensing module, determines feature information according to standard information corresponding to the associated feature information, and identifies the iris to be detected corresponding to a matched determined result as a living iris. The iris identification system may identify the iris by the deep combination of the physiological property and the physical property of eyes, is not liable to be tracked and imitated, is good in security, performs identification in combination with multiple physiological properties and the physical properties, has a highly-reliable identification result, and is good in practicality.

A primarily hand-held or adjustable-mount iris recognition device wherein feedback to the operator is provided by visible illumination or imagery projected onto the face of the subject, as well as an audio signal, while infra-red illumination is projected onto the face of the subject as an illumination source for an iris recognition process. When the device is pointed in the direction of the subject, the infra-red illumination is directed to illuminate primarily the eye region whereas the visible illumination is directed to illuminate primarily other regions including the cheeks. The visible illumination is configured such that the position of the visible illumination on the face indicates to the operator whether the iris recognition device is pointed in the correct direction and at the correct distance for optimal iris recognition. The brightness of the visible illumination is modified in response to the result of an eye detection process performed on the iris recognition device, and the brightness, color and other attributes of the visible illumination or the audio signal are modified in response to the result of eye-finding or other process, including the results of an iris recognition process.

The invention discloses an iris identification module arrangement structure and a mobile terminal. The iris identification module arrangement structure comprises a front camera, an iris identification camera and an infrared fill-in light. The front camera and the iris identification camera are packaged as an integrated module. The integrated module is connected with a circuit board. According to the technical scheme provided by the invention, the space is saved.

The invention relates to a pair of VR (virtual reality) glasses with eye control and iris recognition functions. The pair of VR glasses comprises a wearable VR glasses main body, wherein the VR glasses main body comprises a lens system corresponding to eyes and a processing unit, the processing unit is connected with a display screen, an interaction module, a power module and a communication module, and the processing unit is also connected with a camera and an infrared light source matched with the camera. The pair of VR glasses has the beneficial effects that an eye image and iris information of a user can be acquired, identity authentication is carried out by virtue of an iris recognition function, and iris recognition mobile pavement is further realized, so that interactive experience of the mobile pavement is improved; and meanwhile, an eyeball tracking function can be realized by acquiring eye information and the iris information, and interactive operation of the eyes is further improved by virtue of a focus point obtained through calculation and information such as closure of the eyes, so that man-machine interactive experience of the VR glasses is greatly improved.

The invention discloses an image recognition system based on feature extraction and classifier and an image recognition method based on feature extraction and classifier. The present invention selects feature categories and classifiers suitable for different categories of images to be recognized through trained discriminators, so that image recognition can be applied to different environments, and through the combination of feature extraction and classifiers of multiple categories selected Perform image recognition separately, that is, effectively organize multiple feature extraction methods and multiple classifiers for image recognition, and then make comprehensive decisions based on the recognition results obtained by multiple combinations, thereby improving the reliability of image recognition results. Moreover, the present invention has no limitation on the number of categories of features and classifiers, and can arbitrarily add feature extraction modules and / or classifiers of different categories, which has strong scalability. The invention can be applied to various image recognition based on feature extraction and classifiers such as face recognition, fingerprint recognition and iris recognition.

An iris recognition system and method for operating same is disclosed. The iris recognition system includes an image sensor, a buffer, a comparator, autofocus logic, and gain control logic. The image sensor is configured to obtain at least one image from a camera. The buffer communicatively connected to the image sensor stores values associated with the pixels in the image sensor. The comparator communicately connected to the buffer obtains a coarse segmentation of an iris of a subject. The autofocus logic for adjusts the focus of a lens associated with the camera. The gain control logic adjusts the gain of the image sensor. The functions of obtaining a coarse segmentation, adjusting the focus of the lens, and adjusting the gain are based on the locations of the pixels with the highest value in the image sensor as stored in the buffer.

A digital credit card for transactional processes and a method of using the same, where said credit card comprises: a memory for storing data; a processor, where said processor executes functions related to the credit card: an input; an output; and a biometric security, where said biometric security activates the credit card. The memory may include read only memory and random access memory. The biometric security may include fingerprint identification, iris identification or retina identification.

The invention discloses a multi-channel multi-zone coated camera module and equipment for iris recognition. The multi-channel multi-zone coated camera module comprises a lens set, a lens seat, a shot seat, an optical filer, an image sensor chip and a circuit board, the optical filter comprises a first region and a second region, and the first region is a double-channel coating film through which visible light and infrared light can pass; the second region is a single-channel coating film through which infrared light with special wavelengths can pass. The multi-channel multi-zone coated camera module and equipment for the iris recognition are capable of guaranteeing the iris recognition precision and the real color rendition when taking a photo by oneself.

The present invention relates to conferencing and data recording, in particular to providing secured and verified transactions by means of biometrics. The uniqueness of biometrics is combined with the robustness and reliability of PKI for use in conference applications. The invention is about identifying an individual from a biometric pattern, like the iris of the individual's eye, by means of an iris recognition system. The recognition system then provides the identity of the individual, which is further used to provide secure and reliable digital actions or verifications like authentication, signing and encryption.

A primarily hand-held or adjustable-mount iris recognition device wherein feedback to the operator is provided by visible illumination or imagery projected onto the face of the subject, as well as an audio signal, while infra-red illumination is projected onto the face of the subject as an illumination source for an iris recognition process. When the device is pointed in the direction of the subject, the infra-red illumination is directed to illuminate primarily the eye region whereas the visible illumination is directed to illuminate primarily other regions including the cheeks. The visible illumination is configured such that the position of the visible illumination on the face indicates to the operator whether the iris recognition device is pointed in the correct direction and at the correct distance for optimal iris recognition. The brightness of the visible illumination is modified in response to the result of an eye detection process performed on the iris recognition device, and the brightness, color and other attributes of the visible illumination or the audio signal are modified in response to the result of eye-finding or other process, including the results of an iris recognition process.

The invention relates to medium-long distance single-image sensor based double-eye iris recognition equipment which comprises a panel, an optical lens, a camera module, a processor plate, a storage media, a power interface and a network interface. The process plate is connected with the camera module, the storage media, the power interface and the network interface, and the optical lens, the camera module, the processor plate and the storage media are embedded in the space limited by the front part and the rear part of the panel. The medium-long distance single-image sensor double-eye iris recognition equipment is characterized in that: the front part of the panel is provided with an automatic positioning optical filter, the optical lens is arranged on one side of the optical filter, which is far from the user, the shooting distance of the optical lens is more than 30cm, and the optical lens is provided with a pitch adjusting mechanism so as to adapt to the user in different height and carry out the non-contact double-eye iris recognition. The embedded double-eye iris recognition equipment has a farther recognition range and a wider activity range, can adopt the human-machine interaction modes of the tri-color light and the voice at the same time and is intelligent and friendly.

An iris recognition method is provided. In the iris recognition method, binary image data is obtained by receiving eye image data and filtering the received eye image data using a predetermined threshold value. Then, candidate center search regions are searched for finding a pupil center using profile information of rows and columns of the binarized image. a pupil boundary and a center point are detected by performing a mask operation using 8 pupil boundary mask templates for each of concentric circles formed of pointes in the searched candidate center search regions as candidate pupil centers and different radiuses. An iris boundary region is detected by performing a masking operation using 6 iris boundary mask templates corresponding to 6 locations for concentric circles formed of the pupil center as an origin and different radiuses.

The invention discloses a luminous module hidden under a mobile phone screen. The luminous module includes a screen component, a micro backlight illuminating system installed under the screen component, a liquid crystal display (LCD) screen arranged under a glass cover plate, and a light guide plate which is arranged under the LCD screen and used for illuminating the LCD screen; the screen component includes the glass cover plate; a second through hole is formed in the center of the light guide plate, a second luminous component can be arranged under a light guide component according to needsto achieve the luminous effect, and an imaging system can be arranged under the light guide component to achieve the function of flashing and imaging integration. The luminous module is simple in structure, low in cost, long in life and good in reliability, meanwhile, dark spots, caused by opened holes of the light guide plate, on the display screen can be eliminated, the luminous module can be applied in ordinary LCD touch screens, flash lamps, iris recognition or 3D imaging structured light and other under-screen luminous modules.

The invention relates to a safety system for logging in a VPN. The VPN is a virtual private network accessed by a remote user through a plurality of ways, and comprises a client unit and a VPN gateway unit, wherein the client unit is integrated with a biological feature acquisition device; the VPN gateway unit is provided with an authentication server which adopts a standard RADIUS protocol and is used for receiving an identity authentication and a charging request from a gateway and feeding back a result to the VPN gateway unit; and the authentication server is provided with a biological feature verification module which is used for generating a user biological feature value and comparing the generated feature value with a template feature value in a storage device to verify the identity. The safety system adopts a biological feature recognition technique such as a fingerprint recognition technique, a face recognition technique, a finger vein recognition technique or an iris recognition technique which is applied to the existing VPN system to ensure the true identity of a user connected to an internal network of an enterprise and improve the safety.

A multiple view angles camera used for an automatic photographing apparatus includes a narrow view angle lens, a cylinder lens, and an image sensor. One image sensor is used, and a wide view angle image and a narrow view angle image are projected on the image sensor at the same time. The narrow view angle lens projects the image of the eye photograph range on an eye image region on the image sensor. The cylinder lens is a wide view angle lens and projects the image of a wide view angle photograph range on a wide view angle image region on the image sensor by way of this cylinder lens and the narrow view angle lens.

An iris identifying apparatus includes an optical-axis aligning section which aligns the line of sight of a target person to be picked up, who views a guide light through a view window, with the optical axis of an image pickup device that picks up the eye of the target person. The optical-axis aligning section flickers the guide light and guides the line of sight of the target person to the guide light, and turns on the guide light when the image picked up by the image pickup device comes into focus, thereby notifying the target person of the eye having entered the image pickup distance.