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An automatic human face recognition system
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DOI：10.1016/S0143-8166(98)00022-0.png)
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Abstract
En 中文
In this paper, we develop an automatic human face recognition system in which several well-known technologies, such as the affine transform, the histogram equalization, the spatial encoding, and the hit-miss transform, are incorporated in a new form. The input image is optically correlated with stored database images consecutively by a shadow-casting correlator after necessary preprocessing steps digitally processed by a computer. A SHARP QA-1200 TFT computer projection panel is used as two spatial light modulators (SLMs) for both the input and the database images. The optical structure is optimized for practical use given the limitations of the present devices. 200 face images have been stored in computer database. The system can now reach an recognition accuracy over 94% and a speed of 12 images/s. The tolerance ability to various distortion variances has been tested. (C) 1998 Elsevier Science Ltd. All rights reserved.
Keywords:
LIQUID-CRYSTAL TELEVISIONS
OPTICAL IMPLEMENTATION
PATTERN-RECOGNITION
MISS TRANSFORM
CORRELATORS
BINARY
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