Pattern Recognition
Integral Ratio: A New Class of Global Thresholding Techniques for Handwriting Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Introduction to Digital Image Processing
An Introduction to Digital Image Processing
Dual-Binarization and Anisotropic Diffusion of Chinese Characters in Calligraphy Documents
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Automatic Thresholding of Gray-level Using Multi-stage Approach
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
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In this paper, an algorithm is proposed for card images binarization. It is performed by three steps: coarse binarization, refined binarization, and postprocessing. Firstly, it uses the traditional global thresholding approach to separate a card image into several sub-images, which can be classified into two classes: text sub-images with clear background and text sub-images with complicated background. Secondly, the dual-thresholding is applied to regenerate or retouch the sub-images. According to the characteristics of text candidate sub-image, the thresholding method is selected and applied on it. Finally, the postprocessing is performed on the binary image. Experimental results demonstrate that this approach highly improved the performance of the card image binarization system.