Patent classifications
G06V40/1359
SKIN TEXTURE CONTROL SYSTEM, SKIN TEXTURE CONTROL METHOD, SKIN TEXTURE SAMPLING DEVICE, AND COMPUTER-READABLE MEDIUM
A skin texture control system, a skin texture control method, a skin texture sampling device, and a computer-readable medium storing a code of the skin texture control method are provided. The skin texture control system includes a skin texture feature generation module for generating a skin texture feature of a skin texture, which includes a sampling unit for sampling the skin texture and generating skin texture sampling data in a first period of a working period; and a feature generating unit for generating skin texture stripe data according to the skin texture sampling data and generating the skin texture feature of the skin texture by the skin texture stripe data in a second period; and a control module connected to the skin texture feature generating module for receiving the skin texture feature and outputting a control command by the skin texture feature of the skin texture in a third period.
PARAMETERISING AND MATCHING IMAGES OF FRICTION SKIN RIDGES
An apparatus and method configured to parameterise an image indicating friction skin ridges, the apparatus comprising means for: obtaining a first biometric parameter indicative of a group characteristic of a plurality of the friction ridges; obtaining a second biometric parameter indicative of one or more individual characteristics of one or more individual friction ridges of the plurality of friction ridges; and determining a third biometric parameter dependent on the first biometric parameter and dependent on the second biometric parameter. The first biometric parameter comprises a circular variance field indicative of variation of directions of the plurality of friction ridges. There is also provided a matching apparatus and method.
METHOD AND APPARATUS FOR DETERMINING THE LEVEL OF DEVELOPED FINGERPRINT
A developed fingerprint level determination apparatus includes: a fingerprint image acquisition unit configured to obtain at least two or more developed fingerprint images according to a fingerprint development technique; and a ridge level determination unit configured to check respective ridge development level information of the obtained fingerprint images and compare the respective ridge development level information with each other.
MINUTIA FEATURES GENERATION APPARATUS, SYSTEM, MINUTIA FEATURES GENERATION METHOD, AND PROGRAM
A minutia features generation apparatus comprises: an input part to input an image formed as a curved stripe pattern by a ridge line(s); a generation part to generate a skeleton image formed by extracting a skeleton(s) from the image; an extraction part to extract a plurality of minutiae from the skeleton image; and a calculation part configured to calculate a relation minutia feature(s) representing relationship between a first minutia and a second minutia among the plurality of minutiae, wherein the calculation part calculates as one of the relation minutia features defined by a crossing count of the skeleton(s) and a straight line connecting from the second minutia to a nearest neighbor point which is a point on a trace line traced by tracing starting from the first minutia, which point is located at a shortest line distance from the second minutia.
DISPLAY PANEL, CONTROL METHOD THEREOF, AND DISPLAY DEVICE
The display panel comprises: a display substrate and a touch detection device; wherein the touch detection device comprises: a touch substrate located on a side of the display substrate away from a display surface, and a plurality of ultrasonic detection units located on a side of the touch substrate away from the display substrate; the ultrasonic detection unit comprises: a first electrode located on a side of the touch substrate away from the display substrate, a plurality of second electrodes between the touch substrate and the first electrode, and a piezoelectric induction layer between the first electrode and the second electrodes; in a fingerprint recognition stage, at least a part of the ultrasonic detection units in a fingerprint recognition area are used as an ultrasonic-generating source, and the second electrodes in at least a part of the ultrasonic detection units in the fingerprint recognition area respectively output fingerprint recognition signals.
Display and input apparatus
The present disclosure discloses a display and input apparatus, including a display panel and an image sensor module. The display panel includes a display substrate, a display array, and a cover plate; a display pixel includes at least two types of sub-pixels that emit lights of different colors; a slit is disposed between pixel electrodes of two adjacent sub-pixels; in the display array, a pixel definition layer is disposed along the slit, and a plano-concave lens array is disposed along the pixel definition layer; each of the plano-concave lenses has its optical axis perpendicular to the display panel and passing through the center of the slit; and during image sensing, the display pixel emits light and illuminates an imaging object on the cover plate, and the image sensor module acquires a reflected image from a surface of the imaging object.
Under-screen biometric identification apparatus and electronic device
Provided are an under-screen biometric identification apparatus and an electronic device. The under-screen biometric identification apparatus includes: a lens disposed under a display screen for receiving an optical signal formed by reflection of a human finger on the display screen, where the optical signal is used to detect biometric information of the finger; a lens barrel, where the lens is fixed in the lens barrel; and a support, where the support is connected to the lens barrel by means of threaded connection for supporting the lens barrel. An under-screen biometric identification apparatus and an electronic device provided in embodiments of the present application can improve the efficiency of under-screen biometric identification.
FINGERPRINT MATCHING APPARATUS, FINGERPRINT MATCHING METHOD, AND RECORDING MEDIUM
A fingerprint image display means displays an input fingerprint image being a fingerprint image which is input and a registered fingerprint image being a fingerprint image which has been registered. A marker acquisition means acquires a position of an input marker which is input by a user with respect to the input fingerprint image being displayed. A marker applying means applies a correspondence marker at a position corresponding to an input marker in the registered fingerprint image. A matching means matches the input fingerprint image to which the input marker is input with the registered fingerprint image to which the correspondence marker has been applied.
DISPLAY DEVICE
Provided is a display device comprising a display panel, a metal plate on a bottom surface of the display panel, the metal plate including a first surface facing the bottom surface of the display panel and a second surface opposite to the one surface, and a fingerprint sensor overlappingly disposed on the second surface of the metal plate, wherein the metal plate includes an indentation groove recessed in a direction toward the first surface from the second surface of the metal plate, and the fingerprint sensor is disposed on the second surface of the metal plate on which the indentation groove is formed.
IMAGE PROCESSING METHOD AND APPARATUS, DEVICE, STORAGE MEDIUM, AND COMPUTER PROGRAM PRODUCT
An image processing method, including: obtaining an original image, the original image including biological features of a to-be-detected object, fusing a global frequency domain map corresponding to the original image with the original image to obtain a global fusion image, performing living body detection on the global fusion image to obtain a first detection result, determining that the original image does not pass the living body detection when the first detection result indicates that the original image belongs to a screen reproduced image, obtaining, when the original image does not belong to the screen reproduced image, a biological feature image based on the biological features, fusing a local frequency domain map with the biological feature image to obtain a local fusion image, performing living body detection on the local fusion image to obtain a second detection result, and determining a living body detection result corresponding to the original image.