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 84.
viii. lappuse
... Recognition System......................................... 121 D. Ollivier, M. Weinfeld and R. Guegan A Colour ... RECOGNITION Handwritten Word Recognition – The Approach Proved by Practice................... 153 G. Dzuba, A. Filatov, D ...
... Recognition System......................................... 121 D. Ollivier, M. Weinfeld and R. Guegan A Colour ... RECOGNITION Handwritten Word Recognition – The Approach Proved by Practice................... 153 G. Dzuba, A. Filatov, D ...
xii. lappuse
... Recognition System................... 559 K. K. Lau, P. C. Yuen and Y. Y. Tang Signature Verification Using Distribution of Angular Direction of Pen-point Movement..........................................................
... Recognition System................... 559 K. K. Lau, P. C. Yuen and Y. Y. Tang Signature Verification Using Distribution of Angular Direction of Pen-point Movement..........................................................
4. lappuse
... System (HRS) are not yet available on the market. Most of them are black-box systems e.g. HMM, NN, etc. able to absorb most handwriting variabilities and able to run with efficiency. But these systems have still some drawbacks: it is ...
... System (HRS) are not yet available on the market. Most of them are black-box systems e.g. HMM, NN, etc. able to absorb most handwriting variabilities and able to run with efficiency. But these systems have still some drawbacks: it is ...
7. lappuse
... recognition systems. 3.2 Handwriting Models • Physical Model The physical model which is proposed here relies upon a mathematical model for plane curves. According to Thom's theory”, every change in shape is a morphogenesis (i.e. the ...
... recognition systems. 3.2 Handwriting Models • Physical Model The physical model which is proposed here relies upon a mathematical model for plane curves. According to Thom's theory”, every change in shape is a morphogenesis (i.e. the ...
10. lappuse
... recognition systems already work in this manner *. – Perception of singularities and regularities In the perception of the visual shapes, it was pointed out that the dominant points of the object contours are very important elements ...
... recognition systems already work in this manner *. – Perception of singularities and regularities In the perception of the visual shapes, it was pointed out that the dominant points of the object contours are very important elements ...
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