Eye Detection using Composite Cross-Correlation form Face Images in Varied Illumination
Facial feature detection is essential process in the field of face recognition. Template match based approach is widely used to implement the issue of facial detection. However, many obstructions adversely affect in template based implementation such as varied illumination, size, face pose and...
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| Main Authors: | , , |
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| 格式: | Conference or Workshop Item |
| 語言: | English |
| 出版: |
2014
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| 主題: | |
| 在線閱讀: | http://eprints.unisza.edu.my/562/1/FH03-FIK-14-00397.pdf http://eprints.unisza.edu.my/562/ |
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| 總結: | Facial feature detection is essential process
in the field of face recognition. Template match based
approach is widely used to implement the issue of
facial detection. However, many obstructions adversely
affect in template based implementation such as varied
illumination, size, face pose and the status of eye in
either open case or close case. the objective of this
paper is to detect left eye and overcome the obstruction
of low illumination in given image using composite
cross-correlation. Two single templates form the
proposed composite template. First single template is
created from an eye image in ordinary illumination
while the second single template is created from an eye
image in low illumination. The experimental results is
concluded by applying our templates on the PICS
Database whose varied illumination images and show
that applying composite templates gives a better result
than applying the both single templates individually. |
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