CPC Class H04N

A computer system, method, and computer readable product are provided for managing passwords using steganography. In various embodiments, a computing system provides a password manager that a user provides a password to. The user then selects a service for which credentials will be generated or stored, and an image on the user's device that will be used to steganographically store the credentials. The computing system then generates a steganographic image that includes the credentials and stores that image with the other images on the user's device.

An apparatus for use in decoding a bar code symbol may include an image sensor integrated circuit having a plurality of pixels, timing, and control circuitry for controlling an image sensor, gain circuitry for controlling gain, and analog to digital conversion circuitry for conversion of an analog signal to a digital signal. The apparatus may also include a PCB for mounting the image sensor integrated circuit and light source bank. The connection between the image sensor integrated circuit and/or light source bank and the PCB characterized by a plurality of wires connecting a plurality of bond pads and a plurality of contact pads, where the wires, bond pads, and contact pads provide electrical input/output and mechanical connections between the image sensor integrated circuit and the PCB. The apparatus may be operative for processing image signals generated by the image sensor integrated circuit for attempting to decode the bar code symbol.

A barcode-reading system for a mobile device may include a camera assembly. The barcode-reading system may include a barcode-reading enhancement accessory and a barcode-reading application. The barcode-reading enhancement accessory may be securable to the mobile device and may be configured to provide an indication of license entitlement to the mobile device. The barcode-reading application may be stored in memory of the mobile device and executable by a processor of the mobile device. The barcode-reading application may also be configured to enable an enhanced mode of operation of the barcode-reading application conditional upon determining obtaining the license entitlement from the accessory.

A non-contact friction ridge capture device is described. The device comprises a device housing, the device housing including an electronics compartment and an illumination shield, with an opening between the electronics compartment and the illumination shield into which a user can insert the user's hand. The device further comprising a camera disposed in the electronics compartment for capturing an image of at least one friction ridge surface on a user's hand. The device further comprises a light source disposed in the electronics compartment, the light source emitting light in the direction of the illumination shield, wherein the peak wavelength of emitted light is in the range of 440 to 570 nanometers (nm). The user's hand is not required to contact the device when the camera captures the image of at least one friction ridge surface on a user's hand.

A device with a camera may utilize an enrollment process to capture images of an authorized user to enroll the user for a facial recognition authorization process. The enrollment process may include one or more processes that identify if an identity of the authorized user (e.g., the subject of the enrollment process) has switched during the enrollment process. The processes may include detection and verification of the switch in identities by comparing features of subjects in images as the images are captured during the enrollment process. If the identity of the subject is determined to be switched from the authorized user during the enrollment process, the enrollment process may be restarted. Additionally, clustering of feature vectors from the enrollment images may be used to remove outlying feature vectors that may be generated from one or more images of a subject other than the authorized user.

An image processing method, an electronic device, and a storage medium are described. The image processing method may include acquiring a first face information set output by face recognition operation; acquiring recognition duration of the face recognition operation; determining a preview image at a time point earlier than an output time point by the recognition duration, the output time point being a time point when first face information set is output; and binding the first face information set with the determined preview image.