Abstract: The present invention is a system and method that captures hand geometry, full-length fingerprints, and/or palm prints from a frontal view of a freely posed hand using contactless photography. A system and method for capturing biometric data of a hand includes the steps of and means for (a) digitally photographing a designated contactless capture area not having any predefined hand-positioning structures or platen for receiving a hand, to obtain a captured image of the capture area that includes a naturally-posed hand; (b) extracting a frontal hand image of the naturally-posed hand by applying an Active Appearance Model (AAM) to the captured image; (c) computing a plurality of hand geometry measurements of the frontal hand image; and (d) comparing the plurality of hand geometry measurements from the frontal hand image to corresponding existing hand geometry measurements, wherein the comparison results in a best match.

Abstract: A system and method for capturing biometric data from a hand includes a low resolution camera for recognizing the existence of a hand and determining when the hand is in an optimal position and orientation to capture the biometric data. A plurality of high resolution cameras photographs respective sections of the palm and fingers while several lights illuminate the sections from different directions in rapid sequence. A processor then tiles together the respective images, matches the friction ridges between adjacent images, adjusts the images to account for curvature, and selects individual pixels from the several images to obtain maximum contrast. Conversions of the resulting images into standard formats, such as grayscale, black and white, or simulated rolled ink fingerprint equivalents are also included.

Abstract: A system and method for capturing biometric data from a hand includes a low resolution camera for recognizing the existence of a hand and determining when the hand is in an optimal position and orientation to capture the biometric data. A plurality of high resolution cameras photographs respective sections of the palm and fingers while several lights illuminate the sections from different directions in rapid sequence. A processor then tiles together the respective images, matches the friction ridges between adjacent images, adjusts the images to account for curvature, and selects individual pixels from the several images to obtain maximum contrast. Conversions of the resulting images into standard formats, such as grayscale, black and white, or simulated rolled ink fingerprint equivalents are also included.