A document scanner includes an enclosure with a scanning area. A transparent platform in the scanning area allows a user to position a document for authentication. A top camera takes a picture of the top of the document and a bottom camera takes a picture of the bottom under multiple light conditions including UV, IR, and white light. Mirrors reduce the enclosure size and multiple computers within the enclosure share work to process image data and determine document type. Types are searched in order based historically detected types. Barcode data is decoded and image samples are filtered as one of the computers finds a match. Security features are checked for the detected type and fake variants of the detected type are checked. Card information and formatting is validated and face data captured from a face camera and as shown on the document are matched against a database of banned users.

A document scanner includes an enclosure with a scanning area. A transparent platform in the scanning area allows a user to position a document for authentication. A top camera takes a picture of the top of the document and a bottom camera takes a picture of the bottom under multiple light conditions including UV, IR, and white light. Mirrors reduce the enclosure size and multiple computers within the enclosure share work to process image data and determine document type. Types are searched in order based historically detected types. Barcode data is decoded and image samples are filtered as one of the computers finds a match. Security features are checked for the detected type and fake variants of the detected type are checked. Card information and formatting is validated and face data captured from a face camera and as shown on the document are matched against a database of banned users.

A system for remote voter verification, comprising a user device including a camera, the user device configured to generate registration request including a set of biometric information; a voting authority agent device configured to receive an indication of a failed registration attempt; and at least one registration processor, the at least one registration processor communicatively coupled to the remote user device and located remote from the user device, the at least one registration processor communicatively coupled to the voting authority agent device, the at least one registration processor configured to receive the registration request from the user device, evaluate a liveness status from the set of biometric information, generate the indication of a failed registration attempt in response to a negative liveness status, and send the indication of a failed registration attempt to the voting authority agent device for manual verification.

A system for remote voter verification, comprising a user device including a camera, the user device configured to generate registration request including a set of biometric information; a voting authority agent device configured to receive an indication of a failed registration attempt; and at least one registration processor, the at least one registration processor communicatively coupled to the remote user device and located remote from the user device, the at least one registration processor communicatively coupled to the voting authority agent device, the at least one registration processor configured to receive the registration request from the user device, evaluate a liveness status from the set of biometric information, generate the indication of a failed registration attempt in response to a negative liveness status, and send the indication of a failed registration attempt to the voting authority agent device for manual verification.

Certain embodiments of the disclosure disclose a method and a device, the device including a display, a camera module disposed under the display, at least one light source disposed to correspond to the camera module, a memory, and a processor operatively connected to the display, the camera module, the light source, and/or the memory. The processor may be configured to drive the camera module and the at least one light source in response to a request for biometric authentication, acquire a face image from the camera module, analyze the face image produced at least in part by light emitted from the driven at least one light source, and perform the biometric authentication based on the analysis result. Other embodiments are possible.

Certain embodiments of the disclosure disclose a method and a device, the device including a display, a camera module disposed under the display, at least one light source disposed to correspond to the camera module, a memory, and a processor operatively connected to the display, the camera module, the light source, and/or the memory. The processor may be configured to drive the camera module and the at least one light source in response to a request for biometric authentication, acquire a face image from the camera module, analyze the face image produced at least in part by light emitted from the driven at least one light source, and perform the biometric authentication based on the analysis result. Other embodiments are possible.

In real biometric systems, false match rates and false non-match rates of 0% do not exist. There is always some probability that a purported match is false, and that a genuine match is not identified. The performance of biometric systems is often expressed in part in terms of their false match rate and false non-match rate, with the equal error rate being when the two are equal. There is a tradeoff between the FMR and FNMR in biometric systems which can be adjusted by changing a matching threshold. This matching threshold can be automatically, dynamically and/or user adjusted so that a biometric system of interest can achieve a desired FMR and FNMR.

In real biometric systems, false match rates and false non-match rates of 0% do not exist. There is always some probability that a purported match is false, and that a genuine match is not identified. The performance of biometric systems is often expressed in part in terms of their false match rate and false non-match rate, with the equal error rate being when the two are equal. There is a tradeoff between the FMR and FNMR in biometric systems which can be adjusted by changing a matching threshold. This matching threshold can be automatically, dynamically and/or user adjusted so that a biometric system of interest can achieve a desired FMR and FNMR.

An apparatus for biometric security having a biometric scanner for capturing over a first field of view image data representative of one or more biometric objects associated with a subject, and a presentation attack detection system for capturing over a second field at one or more locations along the subject information indicative of presence of the one or more biometric objects. One or more processers utilizes the image data received from the biometric scanner to select such one or more locations, and to direct the second field of view of the presentation attack detection system to obtain the information along one or more of the selected one or more locations, and to determine in accordance with the information when the first field of view contains a true or fake presentation to the biometric scanner.

A biological information displaying apparatus according to an embodiment includes a picture obtaining apparatus and a processor. The picture obtaining apparatus obtains a picture signal of a predetermined site of a subject as a moving image. The processor generates a hue moving image by extracting a luminance or an image-based photoplethysmogram (iPPG) related to a pulse wave for each pixel of the moving image and assigning a hue in accordance with a value of luminance information or iPPG information. The processor displays the generated hue moving image such that the hue moving image is superimposed on an image of the subject.