Resumo

MORENO-GARCIA, Carlos Francisco  e  SERRATOSA, Francesc. Fast and Efficient Palmprint Identification of a Small Sample within a Full Image. Comp. y Sist. [online]. 2014, vol.18, n.4, pp.683-691. ISSN 2007-9737.  https://doi.org/10.13053/CyS-18-4-2059.

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.

Palavras-chave : Sub-image registration; Hough method; candidate voting; Hungarian algorithm.

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