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 |
1 |
Issue |
1 |
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 |
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Peer Review Status |
มีผู้ประเมินอิสระ |
Level of Conference |
นานาชาติ |
Type of Proceeding |
Full paper |
Type of Presentation |
Oral |
Part of thesis |
true |
Presentation awarding |
false |
Attach file |
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Citation |
0
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