Presentation 2011-02-18
Adult recognition Method using Biometrics : Water Retention Characteristics Detection Using Near Infrared Ray Spectral Characteristic of Cheek
Satoshi Nishino, Shun Yasuda,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Automatic recognition of minors and adults as demanded for in vending machines for tobacco and alcohol. Proposed study examines the basis for automatic recognition of minors and adults using the property of skin water content with decreasing age. In this study, the near-infrared spectral characteristics of the cheek was measured by a spectrometer based on the fact that water is absorbed by nature (wavelength 1100~2200nm. As a result, the wavelength of about 1900nm in the rate of increase of absorbance (slope) found a significant difference between minors and adults. The study was performed using the identified differences. Moreover, in order to strengthen the identification, the study identifies four category regions, namely : "minor", "adult", "unidentified," and "non-human". The study was performed using the four category regions with the recognition rate at about 80 percent.
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Keyword(in English) adult and minor recognition / near infrared ray scanning spectrophotometer / security / skin / collagen
Paper # PRMU2010-222
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Conference Information
Committee PRMU
Conference Date 2011/2/10(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Adult recognition Method using Biometrics : Water Retention Characteristics Detection Using Near Infrared Ray Spectral Characteristic of Cheek
Sub Title (in English)
Keyword(1) adult and minor recognition
Keyword(2) near infrared ray scanning spectrophotometer
Keyword(3) security
Keyword(4) skin
Keyword(5) collagen
1st Author's Name Satoshi Nishino
1st Author's Affiliation Oyama National College of Technology()
2nd Author's Name Shun Yasuda
2nd Author's Affiliation Oyama National College of Technology
Date 2011-02-18
Paper # PRMU2010-222
Volume (vol) vol.110
Number (no) 414
Page pp.pp.-
#Pages 6
Date of Issue