A dynamic algorithm for palmprint recognition

David Palma, Pier Luca Montessoro, Giulia Giordano, Franco Blanchini

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)


Most of the existing techniques for palmprint recognition are based on metrics that evaluate the distance between a pair of features. These metrics are typically based on static functions. In this paper we propose a new technique for palmprint recognition based on a dynamical system approach, focusing on preliminary experimental results. The essential idea is that the procedure iteratively eliminates points in both images to be compared which do not have enough close neighboring points in the image itself and in the comparison image. As a result of the iteration, in each image the surviving points are those having enough neighboring points in the comparison image. Our preliminary experimental results show that the proposed dynamic algorithm is competitive and slightly outperforms some state-of-the-art methods by achieving a higher genuine acceptance rate.

Original languageEnglish
Title of host publication2015 IEEE Conference on Communications and NetworkSecurity, CNS 2015
Number of pages4
ISBN (Electronic)9781467378765
Publication statusPublished - 3 Dec 2015
Externally publishedYes
Event3rd IEEE International Conference on Communications and Network Security, CNS 2015 - Florence, Italy
Duration: 28 Sep 201530 Sep 2015


Conference3rd IEEE International Conference on Communications and Network Security, CNS 2015


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