Recognition of handwritten digits based on contour information
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Defeating line-noise CAPTCHAs with multiple quadratic snakes
2013, Computers and SecurityCitation Excerpt :Once successful segmentation is achieved, as already mentioned, any of a large variety of recognition algorithms could be used. As examples, recognition rates on the pre-segmented NIST handwritten digit database long ago reached 98.5% using Fourier descriptors computed from the digit contours (Cheng and Yan, 1998) and more recently 99.65% using large neural networks (Ciresan et al., 2010). This term favors anti-parallel normal and gradient vectors, encouraging counterclockwise snakes to shrink around or clockwise snakes to expand to enclose light regions surrounded by dark CAPTCHA characters.1
Combination of multiple classifiers using probabilistic dictionary and its application to postcode recognition
2002, Pattern RecognitionCitation Excerpt :High recognition rate is certainly required for a practical system. On the other hand, high recognition reliability [2,12,16] is crucial too. Maximum correct sorting and minimum mis-sorting are the key requirements of an automatic sorting system.
Recognizing Thai handwritten characters and words for human-computer interaction
2001, International Journal of Human Computer StudiesA rotation invariant printed Chinese character recognition system
2001, Pattern Recognition LettersCitation Excerpt :It is not a one-to-one mapping. Some undesirable empty slots called “measles” may appear after the rotation operation (Cheng and Yan, 1998). When we discuss whether a function is rotation invariant, it is better to discuss in the continuous image domain.
Mending broken handwriting with a macrostructure analysis method to improve recognition
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