Presentation 2004/7/1
Gender and Age Estimation from Face Images Using Neural Networks
Miyoko NAKANO, Fumiko YASUKATA, Minoru FUKUMI,
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Abstract(in English) For gender and age estimation, this study focuses on the edge information that consists of all wrinkles in a face and also a neck. Density histogram in which the value of the edge intensity of the vertical direction and the horizontal direction in an image is greater than a threshold value is computed by using the edge information. They are treated as input data to a neural network. This estimation is tried toward the face image database which collected face images of 15-64 years old. In order to show the effectiveness of the proposed method, computer simulations are carried out using these face images.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) age estimation / gender estimation / edge information / neural networks
Paper # HIP2004-15
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Conference Information
Committee HIP
Conference Date 2004/7/1(1days)
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Paper Information
Registration To Human Information Processing (HIP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Gender and Age Estimation from Face Images Using Neural Networks
Sub Title (in English)
Keyword(1) age estimation
Keyword(2) gender estimation
Keyword(3) edge information
Keyword(4) neural networks
1st Author's Name Miyoko NAKANO
1st Author's Affiliation Faculty of Nursing, Fukuoka Prefectural University()
2nd Author's Name Fumiko YASUKATA
2nd Author's Affiliation Faculty of Nursing, Fukuoka Prefectural University
3rd Author's Name Minoru FUKUMI
3rd Author's Affiliation Department of Information Science and Intelligent, University of Tokushima
Date 2004/7/1
Paper # HIP2004-15
Volume (vol) vol.104
Number (no) 168
Page pp.pp.-
#Pages 5
Date of Issue