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.
v. lappuse
... handwritten document recognition such as design principles, theoretical analysis, implementation techniques, and ... Handwritten Form Processing Part 4: Handwritten Word Recognition Part 5: Segmentation Part 6: Oriental Script ...
... handwritten document recognition such as design principles, theoretical analysis, implementation techniques, and ... Handwritten Form Processing Part 4: Handwritten Word Recognition Part 5: Segmentation Part 6: Oriental Script ...
viii. lappuse
... Handwritten Form Reader Architecture ... Handwritten Documents........................................... 141 Y. Pu and Z. Shi PART 4: HANDWRITTEN WORD RECOGNITION Handwritten Word Recognition – The Approach ... Words ............. viii.
... Handwritten Form Reader Architecture ... Handwritten Documents........................................... 141 Y. Pu and Z. Shi PART 4: HANDWRITTEN WORD RECOGNITION Handwritten Word Recognition – The Approach ... Words ............. viii.
ix. lappuse
Seong-whan Lee. A HMM-based System for Recognition of Handwritten Address Words ............. 213 M. Schüßler and H ... Word Recognition ............... 255 G. Dimauro, S. Impedovo, G. Pirlo and A. Salzo Writer Adaptive Segmentation of ...
Seong-whan Lee. A HMM-based System for Recognition of Handwritten Address Words ............. 213 M. Schüßler and H ... Word Recognition ............... 255 G. Dimauro, S. Impedovo, G. Pirlo and A. Salzo Writer Adaptive Segmentation of ...
xi. lappuse
... Handwritten Text............. 439 L. Vuurpijl and L. Schomaker Off-line Handwriting Modeling as a Trajectory Tracking Problem ...................... 449 P. M. Lallican and C. Viard-Gaudin Applying B-spline Wavelet Transform to Contour ...
... Handwritten Text............. 439 L. Vuurpijl and L. Schomaker Off-line Handwriting Modeling as a Trajectory Tracking Problem ...................... 449 P. M. Lallican and C. Viard-Gaudin Applying B-spline Wavelet Transform to Contour ...
3. lappuse
... Handwriting Processing (HHP) has most often been investigated under the frameworks of Character (OCR) and Pattern ... handwritten text. They must be able to read and understand any handwriting and the training phase should be minimum ...
... Handwriting Processing (HHP) has most often been investigated under the frameworks of Character (OCR) and Pattern ... handwritten text. They must be able to read and understand any handwriting and the training phase should be minimum ...
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