Face detection algorithm with facial feature extraction for face recognition system
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Date
2013
Journal Title
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Volume Title
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Open Access Color
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Abstract
A face recognition system is one of the biometric information processes, its applicability is easier and working range is wider than other systems like; fingerprint, iris scanning, signature, etc. The detection methods are designed to extract features of face region out of a digital image. The output face image of the detection algorithm should be similar to the recognition input image. Face detection is performed on live acquired images without any application field in mind. The developed system uses white balance correction, skin like region segmentation, facial feature extraction and face image extraction on a face candidate. System is also capable of detecting multiple faces in live acquired images.
Description
The Turkish Aerospace Industries, Inc. (TAI); FESTO; Star Teknik Electronic Equipments, Inc.
Keywords
Detection, Extraction, Face, Facial feature
Turkish CoHE Thesis Center URL
Fields of Science
Citation
0
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Source
20th Annual International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2013 -- 20th Annual International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2013 -- 20 September 2013 through 20 September 2013 -- Ankara -- 102276
Volume
Issue
Start Page
117
End Page
123