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 76.
22. lappuse
... output symbols (vik, v21), k = 1, 2, l = 1,..., L defined in the previous section, and let O(t):= (Vi(t), V2st)), t = 1,..., T (3.1.1) be observed output sequence. An HMM of a character To = 7t({ai},{b}}, {b}}, w, N) (3.1.2) is defined ...
... output symbols (vik, v21), k = 1, 2, l = 1,..., L defined in the previous section, and let O(t):= (Vi(t), V2st)), t = 1,..., T (3.1.1) be observed output sequence. An HMM of a character To = 7t({ai},{b}}, {b}}, w, N) (3.1.2) is defined ...
36. lappuse
... output. Results were obtained from the basic test; 1.8% of its words were not in the recognizer's dictionary. The three groups of rows in the table represent the three training text length conditions, 1250, 2500 and 3750 characters ...
... output. Results were obtained from the basic test; 1.8% of its words were not in the recognizer's dictionary. The three groups of rows in the table represent the three training text length conditions, 1250, 2500 and 3750 characters ...
44. lappuse
... Output: Result Method: H1 = y11-y12 y13 = y12+H1 / Threshold y13 —- y13 —- N. "on (x2, y2) 2. \ else 2. (x12, y12) (x2, y2) Result = 'D' (x12, y12) Figure 4: Outline of an algorithm for distinguishing between 'D' and “P” 2. Some ...
... Output: Result Method: H1 = y11-y12 y13 = y12+H1 / Threshold y13 —- y13 —- N. "on (x2, y2) 2. \ else 2. (x12, y12) (x2, y2) Result = 'D' (x12, y12) Figure 4: Outline of an algorithm for distinguishing between 'D' and “P” 2. Some ...
56. lappuse
Esat sasniedzis šīs grāmatas aplūkošanas reižu limitu.
Esat sasniedzis šīs grāmatas aplūkošanas reižu limitu.
57. 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 |
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