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Contact-free hand geometry-based identification system
► Effective hand geometrical features are employed in this study. ► Users can place their hand freely in front of the camera without any pegs. ► System can be widely used under dark and complex scenarios. This paper presents an approach for personal identification using hand geometrical features, in...
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Published in: | Expert systems with applications 2012-10, Vol.39 (14), p.11728-11736 |
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container_end_page | 11736 |
container_issue | 14 |
container_start_page | 11728 |
container_title | Expert systems with applications |
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creator | Guo, Jing-Ming Hsia, Chih-Hsien Liu, Yun-Fu Yu, Jie-Cyun Chu, Mei-Hui Le, Thanh-Nam |
description | ► Effective hand geometrical features are employed in this study. ► Users can place their hand freely in front of the camera without any pegs. ► System can be widely used under dark and complex scenarios.
This paper presents an approach for personal identification using hand geometrical features, in which the infrared illumination device is employed to improve the usability of this hand recognition system. In the proposed system, prospective users can place their hand freely in front of the camera without any pegs or templates. Moreover, the proposed system can be widely used under dark environment and complex background scenarios. To achieve better detection accuracy, in total 13 important points are detected from a palm image, and 34 features calculated from these points are used to further recognition. Experimental results demonstrate that the averaged Correct Identification Rate (CIR) is 96.23% and averaged False Accept Rate (FAR) is 1.85%. These results prove that the proposed contact-free system can be considered as an effective identity verification system for practical applications. |
doi_str_mv | 10.1016/j.eswa.2012.04.081 |
format | article |
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This paper presents an approach for personal identification using hand geometrical features, in which the infrared illumination device is employed to improve the usability of this hand recognition system. In the proposed system, prospective users can place their hand freely in front of the camera without any pegs or templates. Moreover, the proposed system can be widely used under dark environment and complex background scenarios. To achieve better detection accuracy, in total 13 important points are detected from a palm image, and 34 features calculated from these points are used to further recognition. Experimental results demonstrate that the averaged Correct Identification Rate (CIR) is 96.23% and averaged False Accept Rate (FAR) is 1.85%. These results prove that the proposed contact-free system can be considered as an effective identity verification system for practical applications.</description><subject>Biometric recognition</subject><subject>Cameras</subject><subject>Expert systems</subject><subject>Feature extraction</subject><subject>Feature recognition</subject><subject>Hand geometry</subject><subject>Illumination</subject><subject>Infrared</subject><subject>Infrared imaging</subject><subject>Mathematical analysis</subject><subject>Palm shape</subject><subject>Recognition</subject><issn>0957-4174</issn><issn>1873-6793</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNqFkDtPwzAURi0EEuXxB5gysiRcx46dSCyo4iVVYoHZurGvwVWbFNsF9d-Tqsww3eWcK32HsSsOFQeubpYVpW-sauB1BbKClh-xGW-1KJXuxDGbQdfoUnItT9lZSksArgH0jKn5OGS0ufSRqPjAwRXvNK4px13ZYyJXBEdDDj5YzGEcirRLmdYX7MTjKtHl7z1nbw_3r_OncvHy-Dy_W5RWKJVLjVL6tvcE0tVOgHWd0Kg6bBC5F9I7Ln2ttOxbrhW0ricNrtbOqx4dojhn14e_mzh-billsw7J0mqFA43bZKYVHITuVPc_CqKtG9l07YTWB9TGMaVI3mxiWGPcTZDZ9zRLs-9p9j0NSDP1nKTbg0TT3q9A0SQbaLDkQiSbjRvDX_oP2qN-lw</recordid><startdate>20121015</startdate><enddate>20121015</enddate><creator>Guo, Jing-Ming</creator><creator>Hsia, Chih-Hsien</creator><creator>Liu, Yun-Fu</creator><creator>Yu, Jie-Cyun</creator><creator>Chu, Mei-Hui</creator><creator>Le, Thanh-Nam</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20121015</creationdate><title>Contact-free hand geometry-based identification system</title><author>Guo, Jing-Ming ; Hsia, Chih-Hsien ; Liu, Yun-Fu ; Yu, Jie-Cyun ; Chu, Mei-Hui ; Le, Thanh-Nam</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c366t-7a44f8bfe04d2d30cd937a69a5aa1f34fd14f2674b817608dbe70d27df6badaa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Biometric recognition</topic><topic>Cameras</topic><topic>Expert systems</topic><topic>Feature extraction</topic><topic>Feature recognition</topic><topic>Hand geometry</topic><topic>Illumination</topic><topic>Infrared</topic><topic>Infrared imaging</topic><topic>Mathematical analysis</topic><topic>Palm shape</topic><topic>Recognition</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guo, Jing-Ming</creatorcontrib><creatorcontrib>Hsia, Chih-Hsien</creatorcontrib><creatorcontrib>Liu, Yun-Fu</creatorcontrib><creatorcontrib>Yu, Jie-Cyun</creatorcontrib><creatorcontrib>Chu, Mei-Hui</creatorcontrib><creatorcontrib>Le, Thanh-Nam</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Expert systems with applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guo, Jing-Ming</au><au>Hsia, Chih-Hsien</au><au>Liu, Yun-Fu</au><au>Yu, Jie-Cyun</au><au>Chu, Mei-Hui</au><au>Le, Thanh-Nam</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Contact-free hand geometry-based identification system</atitle><jtitle>Expert systems with applications</jtitle><date>2012-10-15</date><risdate>2012</risdate><volume>39</volume><issue>14</issue><spage>11728</spage><epage>11736</epage><pages>11728-11736</pages><issn>0957-4174</issn><eissn>1873-6793</eissn><abstract>► Effective hand geometrical features are employed in this study. ► Users can place their hand freely in front of the camera without any pegs. ► System can be widely used under dark and complex scenarios.
This paper presents an approach for personal identification using hand geometrical features, in which the infrared illumination device is employed to improve the usability of this hand recognition system. In the proposed system, prospective users can place their hand freely in front of the camera without any pegs or templates. Moreover, the proposed system can be widely used under dark environment and complex background scenarios. To achieve better detection accuracy, in total 13 important points are detected from a palm image, and 34 features calculated from these points are used to further recognition. Experimental results demonstrate that the averaged Correct Identification Rate (CIR) is 96.23% and averaged False Accept Rate (FAR) is 1.85%. These results prove that the proposed contact-free system can be considered as an effective identity verification system for practical applications.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.eswa.2012.04.081</doi><tpages>9</tpages></addata></record> |
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source | ScienceDirect Journals |
subjects | Biometric recognition Cameras Expert systems Feature extraction Feature recognition Hand geometry Illumination Infrared Infrared imaging Mathematical analysis Palm shape Recognition |
title | Contact-free hand geometry-based identification system |
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