Biometric input, such as images of a hand obtained by a biometric input device, may be used to identify a person. An attacker may attempt to gain access by presenting false biometric data with an artificial biometric model, such as a fake hand. During a suspected attack, the attacker is prompted for additional data. For example, email address, telephone number, payment information, and so forth. This provides additional information about the attack while prolonging the time spent by the attacker on the attack. Information explicitly indicating failure is delayed or not presented at all. Data associated with an attack is placed into an exclusion list and further analyzed to recognize and mitigate future attacks. A subsequent attempt that corresponds to exclusion data proceeds with presenting prompts, gathering further information and consuming more of the attacker's time and resources.

An anti-spoofing method includes detecting first information related to whether the biometric information is forged, based on a first output vector of a first neural network configured to detect whether the biometric information is forged from the input data, extracting an input embedding vector including a feature of biometric information of a user from input data including the biometric information, calculating a similarity value of the input embedding vector based on a fake embedding vector and either one or both of a real embedding vector and an enrollment embedding vector that are provided in advance, calculating a total forgery score based on the similarity value and a second output vector of the first neural network according to whether the first information is detected, and detecting second information related to whether the biometric information is forged, based on the total forgery score.

A processor-implemented method with input data classification includes: extracting an input embedding vector including a feature of biometric information of a user from input data including the biometric information; determining an adaptive embedding vector adaptive to the input embedding vector, based on a combination of a plurality of enrollment embedding vectors that are based on enrollment data; and classifying the input data based on a similarity between the input embedding vector and the adaptive embedding vector.

An electronic device includes a light emitting assembly, a fingerprint chip, and a plurality of color filters. The light emitting assembly is disposed between encapsulation glass and a glass substrate of a display of the electronic device; the fingerprint chip is provided with a plurality of filter sub-regions that are spaced apart from each other; and the plurality of color filters are disposed between the display and the plurality of filter sub-regions respectively.

The present invention relates biometric authentication using an optical biometric arrangement comprising an image sensor comprising a photodetector pixel array configured to capture an image of an object, the image sensor being arranged under a controllable light source comprising light source units, the method comprising: providing a light pattern comprising portions of different light intensity for illuminating the object; acquiring an image of the object, the image comprising image portions corresponding to the portions of different light intensity of the light pattern illuminating the object, at least one image portion being captured by pixels in he photodetector pixel array arranged directly under a light source unit being active during image acquisition, and at least one image portion being captured by pixels in the photodetector pixel array arranged under an at least partly in-active illumination area of the controllable light source during image acquisition, performing biometric authentication at least partly based on metrics extracted from the image portions.

To provide an electronic device capable of suppressing a decrease in resolution when the distance between an object to be imaged and an imaging unit is decreased. This electronic device includes a plurality of pixels, each of at least two pixels of the plurality of pixels including: a first lens that collects incident light; a first light shielding film portion having a first hole through which a part of the incident light that has been collected passes; and a photoelectric conversion unit configured to photoelectrically convert the incident light having passed through the first hole. The shape of the first hole with respect to the first light shielding film portion is different between a first pixel among the at least two pixels and a second pixel different from the first pixel among the at least two pixels.

Disclosed is a biometric information acquisition system and a processing method thereof. The biometric information acquisition system comprises a transparent substrate; a light source; a photoelectric conversion device, which is located at one side of the transparent substrate with the light source, receives light reflected by the transparent substrate and generates electrical signals; a processing device for obtaining biometric information based on the electrical signals. At least a portion of the transparent substrate is made of flexible material, and fits a predetermined portion of an organism on the other side of the transparent substrate based on a curved interface, therefore, ambient light incident to the photoelectric conversion device is reduced, an interference caused by the ambient light is reduced, accuracy of acquiring biometric characteristic information is improved. Because fitting with the curved interface can increase contact area, more biometric characteristic information of the predetermined portion can be obtained.

An electronic device is provided which includes a light emitting module that radiates infrared light, a window disposed on the light emitting module and having a specific refractive index with respect to the infrared light, wherein the window includes a refraction part that totally reflects the infrared light inside the window in correspondence with the specific refractive index, and a fingerprint sensor disposed under the window and obtaining a fingerprint of a user based on a user input on the window by using scattered light of the infrared light.

A material identifying system includes an identifying panel, a voltage source and a determining circuit. The voltage source is arranged to transmit a voltage signal to an object to be identified via the identifying panel in order to obtain an impedance of the object, wherein the voltage source adjusts a frequency of the voltage signal in a predetermined range to find a specific frequency in the predetermined range where the impedance of the object is minimum. The determining circuit is arranged to determine if the specific frequency of the object to be identified matches any specific frequency of a plurality of known materials in order to identify a material of the object.

The present teaching relates to method, system, medium, and implementations for detecting liveness. An input image is received with visual information claimed to represent a palm of a person. One or more variations of the input image are generated based on one or more models specifying conditions to generate the variations. The liveness of the visual information is detected based on the input image and the one or more variations thereof.