Hybrid off-line OCR for isolated handwritten Greek characters
SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications
Hybrid off-line OCR for isolated handwritten Greek characters
SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
Grayscale template-matching invariant to rotation, scale, translation, brightness and contrast
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
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A new method called central projection transformation is proposed in this paper for feature extraction. From our experiments, the new method is found to be efficient in extracting features is based on contour of Chinese characters. Chinese characters have complex structures, and some of them are composed of several separated components, so several contours are embedded in a character. This may obstruct the application of the contour approach in recognizing Chinese characters. Central projection transformation can convert such a multi-contour pattern into a solid convex pattern, whose contour is a unique polygon. Most of the information of this new pattern is still located around its peripheries. This approach can greatly simplify the processing of Chinese characters and other multi-contour patterns. It is also a powerful tool for processing Arabic characters, Japanese characters and other characters.