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. |
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1.–5. rezultāts no 82.
41. lappuse
... Figure 1 shows some examples. T 9 {{{line,0}}, {{line, 6}}} {{{up, 0}, {down, 5}}} {{{up, 5}, loop)} Figure 1: Examples of the representations for some characters 4 Structure Extraction In each character, there may be one or more ...
... Figure 1 shows some examples. T 9 {{{line,0}}, {{line, 6}}} {{{up, 0}, {down, 5}}} {{{up, 5}, loop)} Figure 1: Examples of the representations for some characters 4 Structure Extraction In each character, there may be one or more ...
43. lappuse
... Figure 3 (a). 2 Z & × N. N. > * Z. > * * no - T - Y 2 - T - N. 2 : \ / \ s y <2. / 7 × (a) Relaxed versions of “T” as a result (b) Relaxed versions of “T” as a result of applying type deformations of applying directional deformations Figure ...
... Figure 3 (a). 2 Z & × N. N. > * Z. > * * no - T - Y 2 - T - N. 2 : \ / \ s y <2. / 7 × (a) Relaxed versions of “T” as a result (b) Relaxed versions of “T” as a result of applying type deformations of applying directional deformations Figure ...
44. lappuse
... Figure 4: Outline of an algorithm for distinguishing between 'D' and “P” 2. Some character classes have similar appearances so that ambiguous results are often produced, for example, “1” and “7”, 'A' and 'H', 'u' and “y”, and so on. Figure ...
... Figure 4: Outline of an algorithm for distinguishing between 'D' and “P” 2. Some character classes have similar appearances so that ambiguous results are often produced, for example, “1” and “7”, 'A' and 'H', 'u' and “y”, and so on. Figure ...
50. lappuse
... Figure 1a). Delayed diacriticals constitute a problem for time ordered representations because all the evidence for a character may not be contiguous. That is, when processing the writing in temporal order, it is necessary to somehow ...
... Figure 1a). Delayed diacriticals constitute a problem for time ordered representations because all the evidence for a character may not be contiguous. That is, when processing the writing in temporal order, it is necessary to somehow ...
61. lappuse
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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