1. IR @ Alliance University
  2. Journal Articles Archive
  3. Articles to be qced
Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/6503
Title: Gender Classification Using Neck Features Extracted from Profile Images
Authors: Munehiro Nakamura
Kengo Iwata
Issue Date: 2014
Publisher: Journal on Information Technology
Abstract: Gender classification has been one of the emerging issues in the field of security due to Increase of women-only floors. For security purpose, this paper presents two Biological Features extracted from the Neck Region in a Profile Image. One has extracted the bump of the neck formed by the laryngeal prominence.
URI: http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/6503
Appears in Collections:Articles to be qced

Files in This Item:
File SizeFormat 
GENDER CLASSIFICATION USING NECK FEATURES.pdf2.21 MBAdobe PDFView/Open
Show full item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.