Title:
facegotoinstance111qwert
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Description: Face recognition is due to its security verification system, credit card verification, medical, file management, video
The great application prospect of the discussion, human-computer interaction and system public security (criminal identification, etc.) is becoming more and more
A research hotspot in the field of pattern recognition and artificial intelligence.
Is proposed in this paper, based on the 24-bit color images of face recognition method, is introduced the main content of the image processing, it occupies an extremely important position in the whole software, image processing quality directly affects the positioning and recognition accuracy. This software mainly USES image processing technology: ray compensation, gaussian smooth and binary. Before recognition to fill light image processing, and through the potential for facial region, the skin color according to the inherent eyes face symmetry is to determine whether to face, gaussian smoothing is used to eliminate the noise of the image at the same time, then binarization, main USES the local threshold binarization method, then to locate, to extract the characteristic value and recognition etc. After the test, the image processing module has better effect on the image processing, and the accuracy of positioning and recognition is improved.
Keywords: face recognition; Light compensation; Gaussian smooth; Contrast enhancement
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