An empirical study of palmprint recognition for mobile phones

Jin Su Kim, Gen Li, Byungjun Son, Jaihie Kim

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

Limited processing power, hand pose variations, complicated backgrounds and changing illumination are some of the inherent problems in mobile palmprint recognition. In this paper, a hand-shaped guide window is proposed for fast processing of image acquisition, valley point detection and verification to deal with such problems. Also, an improved version of the Competitive Code is proposed in order to cope with the variation in mobile images, and two practical verification scenarios are suggested to further improve the verification performance. A palmprint database was established using mobile phones for experiments, and an equal error rate (EER) of 2.88% was achieved by using the conventional 1-to-1 matching strategy. By applying the suggested practical scenarios, the verification accuracy was improved to achieve an EER of 0.97%.

Original languageEnglish
Article number7298090
Pages (from-to)311-319
Number of pages9
JournalIEEE Transactions on Consumer Electronics
Volume61
Issue number3
DOIs
Publication statusPublished - 2015 Aug 1

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Electrical and Electronic Engineering

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