Fast and efficient palmprint identification of a small sample within a full image.

Abstract

In some fields like forensic research, experts demand that a found sample of an individual can be matched with its full counterpart contained in a database. The found sample may present several characteristics that make this matching more difficult to perform, such as distortion and, most importantly, a very small size. Several solutions have been presented intending to solve this problem, however, big computational effort is required or low recognition rate is obtained. In this paper, we present a fast, simple, and efficient method to relate a small sample of a partial palmprint to a full one using elemental optimization processes and a voting mechanic. Experimentation shows that our method performs with a higher recognition rate than the state of the art method, when trying to identify palmprint samples with a radius as small as 2.64 cm.

Citation

MORENO-GARCIA, C.F. and SERRATOSA, F. 2014. Fast and efficient palmprint identification of a small sample within a full image. Computación y sistemas [online], 18(4), pages 683-691. Available from: https://doi.org/10.13053/CyS-18-4-2059

• Journal Article Type: Article
• Acceptance Date: Nov 3, 2014
• Online Publication Date: Dec 31, 2014
• Publication Date: Dec 31, 2014
• Deposit Date: Jan 10, 2020
• Publicly Available Date: Jan 22, 2020
• Journal: Computación y sistemas
• Print ISSN: 2007-9737
• Electronic ISSN: 2007-9737
• Publisher: Instituto Politecnico Nacional/Centro de Investigacion en Computacion
• Peer Reviewed: Peer Reviewed
• Volume: 18
• Issue: 4
• Pages: 683-691
• DOI: https://doi.org/10.13053/CyS-18-4-2059
• Keywords: Sub-image registration; Hough method; Candidate voting; Hungarian algorithm
• Public URL: https://rgu-repository.worktribe.com/output/824279