Texture-Based Off-line Text Dependent Handwriting Verification

Handwriting verification is a method for personal identifications, and it is widely applied in many fields, such as public security, examination, bank etc. The identification of examination papers handwriting is a typical case. At present, the task is completed by hand, and wastes much time and money with the number of students on the increase. So this paper research off line handwriting verification of text dependent based on the background.At first, this dissertation introduces the present research conditions of handwriting verification and related theories, give a survey of handwriting algorithm at home and abroad. Then this paper presents a text dependent method of off-line handwriting verification based on the texture feature. Multi-channel Gabor filter is used in the texture analysis to gain handwriting features. By choosing 4 frequencies and 8 directions, it will get 32 Gabor coefficients, and this paper chooses the variance of coefficients as handwriting feature. The Euclidean distance is applied as classifier, and a new technique for getting threshold value is proposed in this paper.Writer identification programming in this thesis is developed in VC++ 6.0, and this paper collects 108 handwriting samples from 30 persons for the experiment. First, the handwriting samples are pre-processed for getting normalized samples. Second, Gabor filter is used to extract handwriting features, and obtains a 32 dimension vector as handwriting feature. Finally, the Euclidean distance is applied as a classifier for the training and testing process. Experiments show that the correct acceptances rate is 89.3% and the correct rejections rate is 80.0%.