Young Hye Paeng, Sung Hwan Jung

The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 7, No. 2, pp. 569-576, Feb. 2000
10.3745/KIPSTE.2000.7.2.569,   PDF Download:

Abstract

The GST can extract the position of facial features without a prior information in an image. However, this method requires a plenty of the processing time because the mask size to process GST must be larger than the size of object such as eye, mouth and nose in an image, In addition, it has the complexity for the computation of middle line to decide facial features. In this paper, we proposed two methods to overcome these disadvantage of the conventional method. First, we used the reduced image having enough information instead of an original image to decrease the processing time. Second, we used the extracted peak positions instead of the complex statistical processing to get the middle lines. To analyze the performance of the proposed method, we tested 200 images including the front, rotated, spectacled, and mustached facial images. In result, the proposed method shows 85% in the performance of feature extraction and can reduce the processing time over 53 times, compared with the existing method.

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