Hand Shape Recognition from Natural Hand Position

Abstract

The article proposes a new approach to hand shape recognition that allows comparison of hands with separated fingers as well as with touching fingers. The idea is to construct a flexible hand model from the set of hand images in different poses. This model allows us to simulate different hand transformations (for example, rotations of fingers) and analyze hand shape after them. Person recognition is performed by matching the reference model to a test hand image. The proposed similarity measure is normalized symmetric difference between superposed silhouettes of test hand and transformed reference hand. The article also introduces a prototype of peg-free person recognition system based on the proposed approach and experimental results on real data.

Basic finger inner‐knuckle print: A new hand biometric modality

“…In this work, we propose to achieve biometric recognition using a modified version of ILBPN and ELLBP. ALLBP code is computed using (5),…”

“…Using the hand as a mean of personal recognition provides a lot of advantages as its good acceptance by users, it's cheaper acquisition devices and the diversity of modalities it contains. In fact, many research works have proposed to use various parts of the hand as a biometric modality as palmprint [1], palmvein [2], fingerprint [3], hand geometry [4], hand shape [5], finger vein [6] etc. Some studies have also designed multibiometric systems which combine different modalities to improve system overall accuracy [7][8][9][10].…”