Gray value distribution of the lack of uniformity due to the light distribution is uneven or plaque noise reasons, tend to make the fingerprint to be processed. Automatic identification of fingerprint feature extraction process, resulting in many traditional algorithm in the local large errors. Automatic extraction method using the variance and the mean characteristics, for the first time on the uneven grayscale image adaptive segmentation. Then, through adaptive adjustment of the different degrees of the image subregion, so that pixels having the same attribute unit having the approximate distribution of grayscale values. Proportional to the adjustment accuracy of the result of the adjustment of the gray uniform level with a previously specified. This adjustment is not only self-adaptability of image segmentation, but also to further expand the application areas of the general threshold algorithm.

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