A Hybrid Recognition Method for Document Images

Y. Zhang, L. Wu, and S. Wang (PRC)

Keywords

document image, graylevel cooccurrence matrix

Abstract

In order to improve the performance of document image recognition, a GLCM-based classifier is firstly proposed and the shortcomings are analyzed. Then, new features based on Rectangular frame histogram (RFH) are presented and added to the feature set. The hybrid classifier performs better than GLCM-based classifier in terms of classification and false-alarm ratio.

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