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

Moreno-Garc�a, Carlos Francisco; Serratosa, Francesc


Francesc Serratosa


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.


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:

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 Politécnico Nacional. Centro de Investigación en Computación
Peer Reviewed Peer Reviewed
Volume 18
Issue 4
Pages 683-691
Keywords Sub-image registration; Hough method; Candidate voting; Hungarian algorithm
Public URL


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