Advances In Handwriting RecognitionSeong-whan Lee World Scientific, 1999. gada 1. jūn. - 600 lappuses Advances in Handwriting Recognition contains selected key papers from the 6th International Workshop on Frontiers in Handwriting Recognition (IWFHR '98), held in Taejon, Korea from 12 to 14, August 1998. Most of the papers have been expanded or extensively revised to include helpful discussions, suggestions or comments made during the workshop. |
No grāmatas satura
1.–5. rezultāts no 78.
ix. lappuse
... Matching for Character Extraction ....................................... 235 K.-W. Cheung, D.-Y Yeung and R. T. Chin Segmenting Handwritten Character Strings in an ICR System............................. 245 S. Bussi and E ...
... Matching for Character Extraction ....................................... 235 K.-W. Cheung, D.-Y Yeung and R. T. Chin Segmenting Handwritten Character Strings in an ICR System............................. 245 S. Bussi and E ...
x. lappuse
... Handwritten Korean Character Recognition Based on Hierarchical Random Graph Modeling ... Handwritten Numerals................... 368 J. Zhou, Q. Gan, A. Krzyzak and C. Y. Suen Expanding the Performance of Polynomial Classifiers by ...
... Handwritten Korean Character Recognition Based on Hierarchical Random Graph Modeling ... Handwritten Numerals................... 368 J. Zhou, Q. Gan, A. Krzyzak and C. Y. Suen Expanding the Performance of Polynomial Classifiers by ...
6. lappuse
... handwritten characters, of their different styles and of their corresponding ductus (the order of the sequence of movements) as well as the study of the art of writing during the Middle-Ages, reveal that most of the characters were ...
... handwritten characters, of their different styles and of their corresponding ductus (the order of the sequence of movements) as well as the study of the art of writing during the Middle-Ages, reveal that most of the characters were ...
14. lappuse
... Character Recognition and Document Analysis”, World Scientific Publ., 1996 ... handwritten words”, Proc. FJCC (AFIPS), pp. 333-342, 1964. L.D. Earnest ... handwritten script words”, IFIP Congress, Amsterdam, pp. 218-223, 1972. M. Sayre ...
... Character Recognition and Document Analysis”, World Scientific Publ., 1996 ... handwritten words”, Proc. FJCC (AFIPS), pp. 333-342, 1964. L.D. Earnest ... handwritten script words”, IFIP Congress, Amsterdam, pp. 218-223, 1972. M. Sayre ...
15. lappuse
... Handwriting and Drawing Research: Basic and Applied Issues, IOS Press, pp. 329-342, 1996. J ... character recognition system based on hierarchical quality fuzzy modelling ... HANDWRITING RECOGNITION On-line Hand Writing Recognition by 15.
... Handwriting and Drawing Research: Basic and Applied Issues, IOS Press, pp. 329-342, 1996. J ... character recognition system based on hierarchical quality fuzzy modelling ... HANDWRITING RECOGNITION On-line Hand Writing Recognition by 15.
Saturs
17 | |
HANDWRITTEN FORM PROCESSING | 79 |
HANDWRITTEN WORD RECOGNITION | 151 |
SEGMENTATION | 223 |
ORIENTAL SCRIPT PROCESSING | 275 |
NUMERAL RECOGNITION | 357 |
EMERGING TECHNIQUES | 437 |
APPLICATIONS | 517 |
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algorithm applied approach B-spline bankcheck bigram character candidates character line character recognition character segmentation classifier combination computed connected components contour corresponding courtesy amount database described detected diacriticals dictionary digit distance error rate evaluation example experimental results experiments feature extraction feature set feature vectors Figure function fuzzy graph grapheme handwriting recognition handwritten character handwritten numerals handwritten words Hidden Markov Models horizontal Hough transform hypotheses integrated Kanji learning legal amount letters lexicon line segments matching matrix nat-ja neural network node obtained off-line on-line handwriting recognition optimal output paper parameters Pattern Recognition performance pixels points preprocessing probability problem Proc proposed method prototype quantization recognition rate recognition results recognition system recognizer samples sequence shown speech recognition step string stroke structure Suen Table technique template threshold touching type vector quantizer wavelet word recognition writing