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Volumn , Issue , 2011, Pages 752-757

Extraction of facial features for the real-time human gender classification

Author keywords

Feature Extraction; Gender Classification; Inter ocular distances; Laplace Gaussian Edge Detection; Sample Face Database

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CLASSIFICATION TECHNIQUE; COMPUTER HUMAN INTERACTION; CRITICAL COMPONENT; FACIAL FEATURE; GABOR WAVELETS; GENDER CLASSIFICATION; GENDER DETECTION; GLOBAL FEATURE; HUMAN OBSERVATIONS; INTER-OCULAR DISTANCES; LAPLACE-GAUSSIAN EDGE DETECTION; SAMPLE FACES;

EID: 79957600452     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICETECT.2011.5760218     Document Type: Conference Paper
Times cited : (6)

References (10)
  • 2
    • 39549093773 scopus 로고    scopus 로고
    • Evaluation of Gender Classification Methods with Automatically Detected and Aligned Faces
    • March
    • Erno Makinen and Roope Raisamo, "Evaluation of Gender Classification Methods with Automatically Detected and Aligned Faces," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 3, pp. 541-547, March 2008.
    • (2008) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.30 , Issue.3 , pp. 541-547
    • Makinen, E.1    Raisamo, R.2
  • 8
    • 79957586437 scopus 로고    scopus 로고
    • http://gpstsc.upc.es/GTAV/Research Areas/UPC Face Database.htm
  • 9
    • 77954885725 scopus 로고    scopus 로고
    • Feature Extraction based Face Recognition, Gender and Age Classification
    • Ramesha. K et al. ,"Feature Extraction based Face Recognition, Gender and Age Classification," International Journal on Computer Science of Engineering, Vol. 02, No. 01s, 14-23, 2010.
    • (2010) International Journal on Computer Science of Engineering , vol.2 , Issue.1 , pp. 14-23
    • Ramesha, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.