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 90.
ii. lappuse
... and Recognition Techniques (Eds. S.-W. Lee, Y. Y. Tang and P. S. P. Wang) "For the complete list of titles in this series, please write to the Publisher. Series in Machine Perception and Artificial Intelligence – Vol. 34.
... and Recognition Techniques (Eds. S.-W. Lee, Y. Y. Tang and P. S. P. Wang) "For the complete list of titles in this series, please write to the Publisher. Series in Machine Perception and Artificial Intelligence – Vol. 34.
v. lappuse
... techniques, and experimental results. According to the main topics of the handwriting recognition research, the contributed papers of this special book edition are organized into nine sections: Part 1: The State of the Art in ...
... techniques, and experimental results. According to the main topics of the handwriting recognition research, the contributed papers of this special book edition are organized into nine sections: Part 1: The State of the Art in ...
vi. lappuse
... Technique de la Poste, France), J. Hull (Ricoh California Research Center, USA), S. Impedovo (Universita di Bari, Italy), G. Kim (Sogang University, Korea), H. J. Kim (Kyungpook National University, Korea), J. Kim (Yonsei University ...
... Technique de la Poste, France), J. Hull (Ricoh California Research Center, USA), S. Impedovo (Universita di Bari, Italy), G. Kim (Sogang University, Korea), H. J. Kim (Kyungpook National University, Korea), J. Kim (Yonsei University ...
ix. lappuse
... Technique for Cursive Word Recognition ............... 255 G. Dimauro, S. Impedovo, G. Pirlo and A. Salzo Writer Adaptive Segmentation of Handwritten Japanese Characters.................... 265 S. Senda, M. Hamanaka and K. Yamada PART 6 ...
... Technique for Cursive Word Recognition ............... 255 G. Dimauro, S. Impedovo, G. Pirlo and A. Salzo Writer Adaptive Segmentation of Handwritten Japanese Characters.................... 265 S. Senda, M. Hamanaka and K. Yamada PART 6 ...
x. lappuse
... Method for Connected Handwritten Digit Recognition...................................................... 426 Z. Lu, Z. Chi, W-C. Siu and P-F Shi PART 8: EMERGING TECHNIQUES Multiple-agent Architectures for the Classification of x.
... Method for Connected Handwritten Digit Recognition...................................................... 426 Z. Lu, Z. Chi, W-C. Siu and P-F Shi PART 8: EMERGING TECHNIQUES Multiple-agent Architectures for the Classification of x.
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