Presentation 2006/6/29
Feature Extraction Method for Age Estimation Using the GA
Hironobu Fukai, Yasue Mitsukura, Hironori Takimoto, Minoru Fukumi,
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Abstract(in English) Recently in the world, many researches for age estimation method using biometrics are widely studied. Especially, age estimation using faces are used because of needless for physical contact. However, when the number of registrants in a system increases, the recognition accuracy of the system will be getting worse certainly. Therefore, in order to improve recognition accuracy of age estimation, it is necessary to extract feature region effective for recognition. In this paper, we analyze and examine about the individual features in a face using the SOM. Thus, by removing the area which is not valuable, we think that recognition accuracy is getting better. Furthermore, in order to show the effectiveness of the proposed method, we show the simulation examples by using the real data.
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Keyword(in English) Age Estimation / self-organized map (SOM) / genetic algorithm (GA)
Paper # HIP2006-36
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Committee HIP
Conference Date 2006/6/29(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Feature Extraction Method for Age Estimation Using the GA
Sub Title (in English)
Keyword(1) Age Estimation
Keyword(2) self-organized map (SOM)
Keyword(3) genetic algorithm (GA)
1st Author's Name Hironobu Fukai
1st Author's Affiliation Graduate School of Bio-Application and Systems Engineering (BASE)()
2nd Author's Name Yasue Mitsukura
2nd Author's Affiliation Graduate School of Bio-Application and Systems Engineering (BASE)
3rd Author's Name Hironori Takimoto
3rd Author's Affiliation Sasebo National College of Technology
4th Author's Name Minoru Fukumi
4th Author's Affiliation Faculty of Engineering, University of Tokushima
Date 2006/6/29
Paper # HIP2006-36
Volume (vol) vol.106
Number (no) 143
Page pp.pp.-
#Pages 4
Date of Issue