Face recognition using line edge map

The automatic recognition of human faces presents a significant challenge to the pattern recognition research community. Typically, human faces are very similar in structure with minor differences from person to person. They are actually within one class of "human face". Furthermore, light...

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Bibliographic Details
Published in:IEEE transactions on pattern analysis and machine intelligence 2002-06, Vol.24 (6), p.764-779
Main Authors: Yongsheng Gao, Leung, M.K.H.
Format: Article
Language:English
Subjects:
Access control
Biomedical monitoring
Biometrics
Face
Face recognition
Facial
Human
Humans
Illumination
Image sequences
Law enforcement
Lighting
Lighting control
Pattern analysis
Pattern recognition
Recognition
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Summary:The automatic recognition of human faces presents a significant challenge to the pattern recognition research community. Typically, human faces are very similar in structure with minor differences from person to person. They are actually within one class of "human face". Furthermore, lighting conditions change, while facial expressions and pose variations further complicate the face recognition task as one of the difficult problems in pattern analysis. This paper proposes a novel concept: namely, that faces can be recognized using a line edge map (LEM). The LEM, a compact face feature, is generated for face coding and recognition. A thorough investigation of the proposed concept is conducted which covers all aspects of human face recognition, i.e. face recognition under (1) controlled/ideal conditions and size variations, (2) varying lighting conditions, (3) varying facial expressions, and (4) varying pose. The system performance is also compared with the eigenface method, one of the best face recognition techniques, and with reported experimental results of other methods. A face pre-filtering technique is proposed to speed up the search process. It is a very encouraging to find that the proposed face recognition technique has performed better than the eigenface method in most of the comparison experiments. This research demonstrates that the LEM, together with the proposed generic line-segment Hausdorff distance measure, provides a new method for face coding and recognition.
ISSN:0162-8828
1939-3539
DOI:10.1109/TPAMI.2002.1008383