A method and apparatus for extracting biological features, a device, a medium, and a program product, relating to the field of image processing. The method includes generating an image sequence according to a biological feature image, the image sequence including the biological feature image and n local image blocks, the local image blocks being obtained by segmenting the biological feature image, n being a positive integer, generating a feature vector group based on the image sequence, feature vectors in the feature vector group being generated based on a feature information interaction result between the biological feature image and the local image blocks and a feature information interaction result between the local image blocks, and taking a feature vector corresponding to the biological feature image in the feature vector group as biological feature information of the biological feature image.

Methods, systems, and computer-readable storage media for determining that a subject is a live person include obtaining a first image captured using a first camera disposed on a first side of a mobile device and obtaining a second image captured using a second camera disposed on a second side of the mobile device that is on the opposite side of the first side. The first image includes a representation of reflections visible on the corneas of a subject. The first image and the second image are pre-processing to generate a third image and a fourth image, respectively, where a first field of view represented in the third image at least partially overlaps with a second field of view of the fourth image. A determination is made, based on the third and fourth images, that a scene represented in the first field of view is substantially same as a scene represented in the second field of view. Responsive to determining that the scene represented in the first field of view is substantially same as the scene represented in the second field of view, identifying the subject as a live person.

Methods, apparatus, systems, and storage medium for a face liveness detection are provided. The method includes obtaining an image comprising a face of an object; extracting an image feature of the image through an encryption network in a joint model for encryption and detection; performing image reconstruction based on the image feature to obtain an encrypted image corresponding to the image, the encrypted image being different in image content from the image; transmitting the encrypted image to a liveness detection server, wherein the liveness detection server is configured to perform liveness detection on the encrypted image through a detection network in the joint model for encryption and detection to obtain a liveness detection result of the object in the image; and receiving the liveness detection result of the object in the image from the liveness detection server.

An apparatus includes: a memory storing one or more instructions; and a processor configured to execute the one or more instructions to: obtain a plurality of images, each of the plurality of images including an eye of a subject; obtain a plurality of gaze angles, each of the plurality of gaze angles corresponding to the eye of the user; and detect liveness of the subject based on the plurality of gaze angles.

There is provided a recognition system adaptable to a portable device or a wearable device. The recognition system senses a body heat using a thermal sensor, and performs functions such as the living body recognition, image denoising and body temperature prompting according to detected results.

There is provided a human falling detection system including an image sensor, a thermal sensor and a microphone. The image sensor captures an image frame that is used to identify a face and a height-width ratio of a human image. The thermal sensor is used as a filter for filtering out a living body and captures a thermal image that is used to identify a height-width ratio of a human thermal image. The microphone records a time stamp of an abrupt sound appearing.

A detection device includes a sensor circuit in which a plurality of detection elements each comprising a photoelectric conversion element are arranged in a matrix having a row-column configuration in a detection area, and a detector having a touch detection period of detecting an object to be detected in contact with or in proximity to the sensor circuit and a fingerprint detection period of detecting asperities on a surface of the object to be detected.

Implementations of the present disclosure include receiving a color image and an IR image, the IR image taken contemporaneously with the color image, providing a set of facial landmarks depicted in the color image, determining a depth value for each facial landmark in the set of color landmarks, depth values being provided from the IR image, determining an average depth difference based on at least a sub-set of facial landmarks in the set of facial landmarks, comparing the average depth difference to a difference threshold to provide a comparison, and selectively authenticating the person based on the comparison.

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.

An information processing system includes an array sensor with a pixel array having a plurality of one-dimensionally or two-dimensionally arranged pixels including a light-receiving element that receives visible or non-visible light, a hash value generator that generates a hash value from captured-image data based on a photoelectric conversion performed by the pixel array, and an encryption processing section that performs processing of encrypting the hash value; an acquisition section that acquires the captured-image data and the encrypted hash value; a decryption processing section that decrypts the acquired encrypted hash value; a hash value calculator that calculates a hash value from the acquired captured-image data; a hash value comparing section that compares the hash value obtained by the decryption with the calculated hash value; and a falsification determination section that determines whether the acquired captured-image data has been falsified, based on a comparison result of the hash values.