Handwritten digit recognition using an optimized nearest neighbor classifier
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2003, Pattern RecognitionReconstruction of broken handwritten digits based on structural morphological features
2001, Pattern RecognitionCitation Excerpt :However, we can generally add new procedures for special cases to enhance the reconstruction performance. If the recognition algorithm is optimized nearest-neighbor classifier (ONNC) [11,12] (neural networks) on a Sun Sparc 2 workstation, the average time of recognizing one handwritten digit is 0.02 s. If our reconstruction method is used, the average time of recognizing one broken handwritten digit is 0.23 s. Therefore, though recognition rate is improved, total recognition time is increased after using our reconstruction algorithm.
Mending broken handwriting with a macrostructure analysis method to improve recognition
1999, Pattern Recognition LettersSeparation of single-touching handwritten numeral strings based on structural features
1998, Pattern RecognitionA Model-Based Segmentation Method for Handwritten Numeral Strings
1998, Computer Vision and Image Understanding
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