关键词: 单字, Gabor变换, 提升小波, 笔迹鉴别, 特征提取

Abstract:

This paper researches the algorithm of handwriting identification based on the background of selfstudy examination of higher education. Firstly, multichannel Gabor filter is used in the texture analysis to gain handwriting features.It uses the Euclidean distance as a classifier to classify, then, finds the most similar 5 handwritings with test sample in the training sample library. On this basis, using of thecharacteristics of 9/7 lifting wavelet algorithm which can extract the minutiae of the high frequent of image extract the features for the single character. Through comprehensive analysis, it gives the final results of the identification. Experimental results show that this algorithm has good identification rates.

Key words: single character, Gabor transform, lifting wavelet, handwriting identification, feature extraction