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 86.
5. lappuse
... points, etc.), could be extended to oriental language for reading Chinese, Japanese (Hiragana, Katakana, Kanji) or Korean (Hangul). 3 Handwriting Modeling Handwriting, as speech, is one form of expression used by the human language". As ...
... points, etc.), could be extended to oriental language for reading Chinese, Japanese (Hiragana, Katakana, Kanji) or Korean (Hangul). 3 Handwriting Modeling Handwriting, as speech, is one form of expression used by the human language". As ...
7. lappuse
... points the subset comprising points where the curve is disrupted, angular points and cusps. Some other singularities are the points of inflection, the extrema and the multiple points. All these points are the set of singularities in the ...
... points the subset comprising points where the curve is disrupted, angular points and cusps. Some other singularities are the points of inflection, the extrema and the multiple points. All these points are the set of singularities in the ...
10. lappuse
... points of the object contours are very important elements *. We assume that singularities of plane curves or of handwriting are also pertinent “perceptual points”. – Perception of the shapes of the basic primitive and of the fundamental ...
... points of the object contours are very important elements *. We assume that singularities of plane curves or of handwriting are also pertinent “perceptual points”. – Perception of the shapes of the basic primitive and of the fundamental ...
20. lappuse
... sampling rate is approximately 30 points/sec. After a straightforward linear normalization, data compression (re-sampling) is done. In order to formulate the problem in terms of discrete 2 Preprocessing 2.1 Quantizetion.
... sampling rate is approximately 30 points/sec. After a straightforward linear normalization, data compression (re-sampling) is done. In order to formulate the problem in terms of discrete 2 Preprocessing 2.1 Quantizetion.
30. lappuse
... points. indexed. in time. At each point, we compute features based on distances and angles among points. Windows of adjacent points are assembled around centers consisting primarily of local extrema in z and y; point feature vectors are ...
... points. indexed. in time. At each point, we compute features based on distances and angles among points. Windows of adjacent points are assembled around centers consisting primarily of local extrema in z and y; point feature vectors are ...
Saturs
17 | |
HANDWRITTEN FORM PROCESSING | 79 |
HANDWRITTEN WORD RECOGNITION | 151 |
SEGMENTATION | 223 |
ORIENTAL SCRIPT PROCESSING | 275 |
NUMERAL RECOGNITION | 357 |
EMERGING TECHNIQUES | 437 |
APPLICATIONS | 517 |
Citi izdevumi - Skatīt visu
Bieži izmantoti vārdi un frāzes
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