2012 ©
             Publication
Journal Publication
Research Title Face Classification using Adjusted Histogram in Grayscale 
Date of Distribution 13 March 2018 
Conference
     Title of the Conference The International MultiConference of Engineers and Computer Scientists 2018 
     Organiser The International Association of Engineers (IAENG) 
     Conference Place The royal garden 
     Province/State Kowloon 
     Conference Date 14 March 2018 
     To 16 March 2018 
Proceeding Paper
     Volume
     Issue
     Page 276-278 
     Editors/edition/publisher S.I. Ao,Oscar Castillo, Craig Douglas, David Dagan Feng and A.M. Korsunsky (Eds)/ Newswood Limited, International Association of Engineers(Publisher) 
     Abstract This paper focuses histogram in grayscale image for a face recognition. We propose an easy and effective classification method for a face grayscale image based on histogram in grayscale of face images. We find histogram of image pixels as an input, then we modify histogram and classify by Euclidean distance. The proposed method tests on the Grimace, ORL and Jaffe databases. The recognition rate is compared with Kullback-Leibler divergence (KLD). The proposed algorithms show high performance and they have recognition rate over 98%, 95% and 100% for ORL, Jaffe and Grimace database, respectively. 
Author
587020018-1 Miss WEENAKORN IEOSANURAK [Main Author]
Science Doctoral Degree

Peer Review Status มีผู้ประเมินอิสระ 
Level of Conference นานาชาติ 
Type of Proceeding Full paper 
Type of Presentation Oral 
Part of thesis true 
Presentation awarding false 
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