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 77.
23. lappuse
... (“E”)(t)}{ i is obtained. Since “[]" is a subset of “if”, one of P({O(“[I")(t)}{ 1, Q(T) = q | ?t(“Hä”)), (3.2.2) can be large so that the marginalization P(Qeri')(0):, Inco)XCP((o(“H”)(t)}{ 1,90) = q. H("H") (3.2.3) i ...
... (“E”)(t)}{ i is obtained. Since “[]" is a subset of “if”, one of P({O(“[I")(t)}{ 1, Q(T) = q | ?t(“Hä”)), (3.2.2) can be large so that the marginalization P(Qeri')(0):, Inco)XCP((o(“H”)(t)}{ 1,90) = q. H("H") (3.2.3) i ...
26. lappuse
... obtained by the previous steps. Let {O.(t)}{o be another training set for the same character. If the normalized log ... obtained by the scheme described above, one wants to see how well 711 fits to {}_{}}#1. One way of doing this is to ...
... obtained by the previous steps. Let {O.(t)}{o be another training set for the same character. If the normalized log ... obtained by the scheme described above, one wants to see how well 711 fits to {}_{}}#1. One way of doing this is to ...
28. lappuse
... obtained in this direction which will be reported elsewhere. Since the top five recognition rate is 97.36%, a significant improvment recognition performance may be possible by exploiting grammatical structure associated with character ...
... obtained in this direction which will be reported elsewhere. Since the top five recognition rate is 97.36%, a significant improvment recognition performance may be possible by exploiting grammatical structure associated with character ...
36. lappuse
... obtained from the basic test; 1.8% of its words were not in the recognizer's dictionary. The three groups of rows in ... obtain an interesting answer to the question of text priority. The CT text, intended to strike a balance between ...
... obtained from the basic test; 1.8% of its words were not in the recognizer's dictionary. The three groups of rows in ... obtain an interesting answer to the question of text priority. The CT text, intended to strike a balance between ...
37. lappuse
... obtained while still preserving the content of the text. As stated above, these tests do not give much indication of ability to recognize uppercase letters, digits, and non-alphanumeric symbols. For this reason, we also use the ...
... obtained while still preserving the content of the text. As stated above, these tests do not give much indication of ability to recognize uppercase letters, digits, and non-alphanumeric symbols. For this reason, we also use the ...
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