Presentation 2014-10-17
A Study on Palmprint Extraction Method for Contactless Palmprint Recognition
Takuto SATO, Shoichiro AOYAMA, Shuji SAKAI, Shusaku YUSA, Koichi ITO, Takafumi AOKI,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Palmprint region extraction is one of the most important procedures for palmprint recognition, since the accuracy of palmprint region has a significant impact on recognition performance. Especially, in a contactless recognition system, a palmprint region has to be extracted from a palm image with taking into consideration a variety of hand pose. Most of conventional methods of palmprint 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 palmprint region extraction method robust against hand pose. Through a set of experiments using our database which contains palm images with different hand pose, we demonstrate effectiveness of the proposed method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) palmprint recognition / contactless / ROI extraction / hand pose
Paper # BioX2014-35
Date of Issue

Conference Information
Committee BioX
Conference Date 2014/10/9(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Biometrics (BioX)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Palmprint Extraction Method for Contactless Palmprint Recognition
Sub Title (in English)
Keyword(1) palmprint recognition
Keyword(2) contactless
Keyword(3) ROI extraction
Keyword(4) hand pose
1st Author's Name Takuto SATO
1st Author's Affiliation Graduate School of Information Sciences, Tohoku University()
2nd Author's Name Shoichiro AOYAMA
2nd Author's Affiliation Graduate School of Information Sciences, Tohoku University
3rd Author's Name Shuji SAKAI
3rd Author's Affiliation Graduate School of Information Sciences, Tohoku University
4th Author's Name Shusaku YUSA
4th Author's Affiliation Graduate School of Information Sciences, Tohoku University
5th Author's Name Koichi ITO
5th Author's Affiliation Graduate School of Information Sciences, Tohoku University
6th Author's Name Takafumi AOKI
6th Author's Affiliation Graduate School of Information Sciences, Tohoku University
Date 2014-10-17
Paper # BioX2014-35
Volume (vol) vol.114
Number (no) 251
Page pp.pp.-
#Pages 5
Date of Issue