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 42.
ix. lappuse
... line Handwritten Hangul Recognition ...................................................... 287 S.-I. Chien, Y-M. Baek and K.-T. Lim Document Understanding Based on Maximum a Posteriori Probability Estimation ...............
... line Handwritten Hangul Recognition ...................................................... 287 S.-I. Chien, Y-M. Baek and K.-T. Lim Document Understanding Based on Maximum a Posteriori Probability Estimation ...............
40. lappuse
... line segments and curves. Every line segment or curve can be extended along a certain direction. A curve that joins itself at some point forms a loop. Hence, in our representation, we will use as primitives different types of line segments ...
... line segments and curves. Every line segment or curve can be extended along a certain direction. A curve that joins itself at some point forms a loop. Hence, in our representation, we will use as primitives different types of line segments ...
41. lappuse
... line segment. On the other hand, if there is a sharp turn along a stroke, we will represent it with multiple line segments. Figure 2 shows the steps taken to extract the structure of a digit '3'. (0, 85) (6,92) (19,99) (53,90) 3 - - (66 ...
... line segment. On the other hand, if there is a sharp turn along a stroke, we will represent it with multiple line segments. Figure 2 shows the steps taken to extract the structure of a digit '3'. (0, 85) (6,92) (19,99) (53,90) 3 - - (66 ...
42. lappuse
... line segments, broken strokes, and writing a stroke in the reverse direction. Such problems can be fixed during the preprocessing stage or some later stages. Due to the paper limit, we will not explain here details of the algorithms ...
... line segments, broken strokes, and writing a stroke in the reverse direction. Such problems can be fixed during the preprocessing stage or some later stages. Due to the paper limit, we will not explain here details of the algorithms ...
45. lappuse
... line segments. Figure 6 shows Some examples of the characters in the dataset. 4- 3 A G K W b j}V(/ (a) Regularly written characters \{ 3 A-4–K W/ b : M // (b) Poorly written characters 4 & A. C. K. L. V. J. MA(c) Characters that may be ...
... line segments. Figure 6 shows Some examples of the characters in the dataset. 4- 3 A G K W b j}V(/ (a) Regularly written characters \{ 3 A-4–K W/ b : M // (b) Poorly written characters 4 & A. C. K. L. V. J. MA(c) Characters that may be ...
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