Presentation 2009/1/5
A gender identification using shoeprint images(International Workshop on Advanced Image Technology 2009)
Satoshi Asamizu, Miki Haseyama,
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Abstract(in English) This paper proposes a gender identification using shoeprint images. It is difficult for the proposed method to identify an individual if shoeprint images for identification leaked out. Because the proposed method identifies gender without the faces, the type of dress and the hair types images. Therefore we can use safely the proposed method in public place. In addition, a sensor mat which we developed is reasonable to use mechanical switches arranged in a matrix pattern without pressure switches. We had shoeprint images with the sensor mat. We measure feature parameters from shoeprint images. The feature parameters are length, width and area of shoeprint. Utilizing the feature parameters, we identified, gender. In order to verify the gender identification rate of the proposed method, we set up the sensor mat at an entrance of buildings and took shoeprint images of 100 men and 100 women. As a result, we achieved about 86 percent of the gender identification rate.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) gender identification / shoeprint / sensor mat
Paper # IE2008-160
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Committee IE
Conference Date 2009/1/5(1days)
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Registration To Image Engineering (IE)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A gender identification using shoeprint images(International Workshop on Advanced Image Technology 2009)
Sub Title (in English)
Keyword(1) gender identification
Keyword(2) shoeprint
Keyword(3) sensor mat
1st Author's Name Satoshi Asamizu
1st Author's Affiliation Department of Electronics Kushiro National College of Technology()
2nd Author's Name Miki Haseyama
2nd Author's Affiliation Department of Electronics Kushiro National College of Technology
Date 2009/1/5
Paper # IE2008-160
Volume (vol) vol.108
Number (no) 373
Page pp.pp.-
#Pages 4
Date of Issue