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 44.
ix. lappuse
... Characters.................... 265 S. Senda, M. Hamanaka and K. Yamada PART 6: ORIENTAL SCRIPT PROCESSING A Probabilistic Model for Candidate Selection in Recognition of Large Character Set .................................................
... Characters.................... 265 S. Senda, M. Hamanaka and K. Yamada PART 6: ORIENTAL SCRIPT PROCESSING A Probabilistic Model for Candidate Selection in Recognition of Large Character Set .................................................
30. lappuse
... character pairs most-commonly occurring in general use. 2 Recognition System ... character is represented by varying-length sequences of states. Mixture-Gaussian models ... candidate character-coverage criteria, unigram balance and bigram ...
... character pairs most-commonly occurring in general use. 2 Recognition System ... character is represented by varying-length sequences of states. Mixture-Gaussian models ... candidate character-coverage criteria, unigram balance and bigram ...
42. lappuse
Seong-whan Lee. In practice, some writers produce characters which are hard to ... character, we can then match it against a set of models. However, due to ... candidate set and S = deform (L, T). Let M be the match set and M = match(C ...
Seong-whan Lee. In practice, some writers produce characters which are hard to ... character, we can then match it against a set of models. However, due to ... candidate set and S = deform (L, T). Let M be the match set and M = match(C ...
52. lappuse
Esat sasniedzis šīs grāmatas aplūkošanas reižu limitu.
Esat sasniedzis šīs grāmatas aplūkošanas reižu limitu.
216. lappuse
Esat sasniedzis šīs grāmatas aplūkošanas reižu limitu.
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