Mr. Xin Li Profile

Xin Li

at Tsinghua Univ

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Proceedings Article | 19 January 2009

Improving semi-text-independent method of writer verification using difference vector

Xin Li, Xiaoqing Ding

Proc. SPIE. 7247, Document Recognition and Retrieval XVI

KEYWORDS: Databases, Principal component analysis, Feature extraction, Optical character recognition, Lithium, Statistical analysis, Intelligence systems, Stochastic processes, Standards development, Image segmentation

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The semi-text-independent method of writer verification based on the linear framework is a method that can use all characters of two handwritings to discriminate the writers in the condition of knowing the text contents. The handwritings are allowed to just have small numbers of even totally different characters. This fills the vacancy of the classical text-dependent methods and the text-independent methods of writer verification. Moreover, the information, what every character is, is used for the semi-text-independent method in this paper. Two types of standard templates, generated from many writer-unknown handwritten samples and printed samples of each character, are introduced to represent the content information of each character. The difference vectors of the character samples are gotten by subtracting the standard templates from the original feature vectors and used to replace the original vectors in the process of writer verification. By removing a large amount of content information and remaining the style information, the verification accuracy of the semi-text-independent method is improved. On a handwriting database involving 30 writers, when the query handwriting and the reference handwriting are composed of 30 distinct characters respectively, the average equal error rate (EER) of writer verification reaches 9.96%. And when the handwritings contain 50 characters, the average EER falls to 6.34%, which is 23.9% lower than the EER of not using the difference vectors.

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