Palm region extraction for contactless palmprint recognition

Koichi Ito, Takuto Sato, Shoichiro Aoyama, Shuji Sakai, Shusaku Yusa, Takafumi Aoki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Citations (Scopus)


Palm region extraction is one of the most important processes in palmprint recognition, since the accuracy of extracted palm regions has a significant impact on recognition performance. Especially in contactless recognition systems, a palm region has to be extracted froma palm image by taking into consideration a variety of hand poses. Most conventional methods of palm region extraction assume that all the fingers are spread and a palm faces to a camera. This assumption forces users to locate his/her hand with limited pose and position, resulting in impairing the flexibility of the contactless palmprint recognition system. Addressing the above problem, this paper proposes a novel palm region extraction method robust against hand pose. Through a set of experiments using our databases which contains palm images with different hand pose and the public database, we demonstrate that the proposed method exhibits efficient perfomance compared with conventional methods.

Original languageEnglish
Title of host publicationProceedings of 2015 International Conference on Biometrics, ICB 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages7
ISBN (Electronic)9781479978243
Publication statusPublished - 2015 Jun 29
Event8th IAPR International Conference on Biometrics, ICB 2015 - Phuket, Thailand
Duration: 2015 May 192015 May 22

Publication series

NameProceedings of 2015 International Conference on Biometrics, ICB 2015


Other8th IAPR International Conference on Biometrics, ICB 2015

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science Applications
  • Biomedical Engineering
  • Safety, Risk, Reliability and Quality


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