Presentation 2008-03-14
Influence of Iris Pattern Rotation to Personal Authentication
Takeshi KAWASAKI, Hironobu TAKANO, Kiyomi NAKAMURA,
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Abstract(in English) An iris recognition system that employs a rotation spreading neural network (R-SAN net) can recognize the rotation angle of the input iris pattern. The change in the rotation of iris pattern is corrected by using the recognized rotation angle obtained by R-SAN net. In this study, we evaluated the suitable criterion of the rotation correction and the -orientation recognition performance. The rotation change within 10 degrees had no effect on the iris recognition performance with the spread pattern generated by R-SAN net. This result showed that the orientation correction was required to prevent the decrease of the iris recognition performance when the rotation change of input iris pattern was over 10 degrees. On the other hand, the orientation recognition experiments showed that the decrease of the rotation recognition performance was caused by the slight errors of iris and pupil detections.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Iris recognition / Orientation recognition / Moving average / Iris area extraction
Paper # NC2007-185
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Committee NC
Conference Date 2008/3/5(1days)
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Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Influence of Iris Pattern Rotation to Personal Authentication
Sub Title (in English)
Keyword(1) Iris recognition
Keyword(2) Orientation recognition
Keyword(3) Moving average
Keyword(4) Iris area extraction
1st Author's Name Takeshi KAWASAKI
1st Author's Affiliation Graduate School of Engineering, Toyama Prefectural University()
2nd Author's Name Hironobu TAKANO
2nd Author's Affiliation Graduate School of Engineering, Toyama Prefectural University
3rd Author's Name Kiyomi NAKAMURA
3rd Author's Affiliation Graduate School of Engineering, Toyama Prefectural University
Date 2008-03-14
Paper # NC2007-185
Volume (vol) vol.107
Number (no) 542
Page pp.pp.-
#Pages 6
Date of Issue