Handwriting Signature Identification Based on Improved Adaptive Median Filtering Algorithm

Handwritten signature is widely used for human identity authentication in daily life. In order to improve the recognition accuracy and promote the success rate, it is necessary to preprocess the signature image. In this paper, the signature image preprocessing included smooth filtering, image binaryzation, signature area acquisition, and edge thinning. Furthermore, an improved adaptive median filtering algorithm was presented. The experiment results show that the signature information carrier extracted by the improved adaptive median filter algorithm has more signature features, and increases the recognition accuracy and success rate.