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 41.
xi. lappuse
... Matrices and HMMs for Hand-Drawn Pictogram Recognition............................................................... 519 S. Muller, G. Rigoll, A. Kosmala and D. Mazurenok Relevant Classifier Integration Approach and Its Application to ...
... Matrices and HMMs for Hand-Drawn Pictogram Recognition............................................................... 519 S. Muller, G. Rigoll, A. Kosmala and D. Mazurenok Relevant Classifier Integration Approach and Its Application to ...
10. lappuse
... matrix than directly on the signal. It is noticeable that some on-line handwriting recognition systems already work in this manner *. – Perception of singularities and regularities In the perception of the visual shapes, it was pointed ...
... matrix than directly on the signal. It is noticeable that some on-line handwriting recognition systems already work in this manner *. – Perception of singularities and regularities In the perception of the visual shapes, it was pointed ...
64. lappuse
Esat sasniedzis šīs grāmatas aplūkošanas reižu limitu.
Esat sasniedzis šīs grāmatas aplūkošanas reižu limitu.
74. lappuse
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Esat sasniedzis šīs grāmatas aplūkošanas reižu limitu.
93. lappuse
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Esat sasniedzis šīs grāmatas aplūkošanas reižu limitu.
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