It is much more complex and difficult for off-line signature identification attributable to the limitation of available information. To solve the problem, a signature identification method based on mathematical morphology is proposed. The signature image is gray-scaled、two-valued、filtered、negated and normalized at the stage of preprocess strokes which possess distinctive directional characteristics are extracted by using mathematical morphology and combining different scales/directions structure element at last judgement are maked for sample in accordance with length、thickness and distance of strokes. Experimental results showed the proposed method can enhance accurate rate effectively, improve real-time performance, which is a try beneficial to apply new methods for off-line signature identification, having the certain promotion application value.

一种基于数学形态学的签名真伪鉴别方法.doc

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