JICCE (한국정보통신학회)
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| 한글제목(Korean Title) |
Physiological Neuro-Fuzzy Learning Algorithm for Face Recognition |
| 영문제목(English Title) |
Physiological Neuro-Fuzzy Learning Algorithm for Face Recognition |
| 저자(Author) |
Kwang-Baek Kim
Young Woon Wo
Hyun-Jung Park
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| 원문수록처(Citation) |
VOL 05 NO. 01 PP. 0050 ~ 0053 (2007. 03) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
This paper presents face features detection and a new physiological neuro-fuzzy learning method by using two-dimensional variances based on variation of gray level and by learning for a statistical distribution of the detected face features. This paper reports a method to learn by not using partial face image but using global face image. Face detection process of this method is performed by describing differences of variance change between edge region and stationary region by gray-scale variation of global face having featured regions including nose, mouse, and couple of eyes. To process the learning stage, we use the input layer obtained by statistical distribution of the featured regions for performing the new physiological neuro-fuzzy algorithm. |
| 키워드(Keyword) |
face recognition
neuro-fuzzy learning algorithm
2-D blob feature
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| 파일첨부 |
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