Advances in Handwriting RecognitionWorld Scientific, 1999 - 587 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 65.
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... Method Using Character Touching Type Verification D. Nishiwaki and K. Yamada ...... 397 ..... 406 416 A New Template Representation and Extraction Method for Connected Handwritten Digit Recognition . Z. Lu , Z. Chi , W.-C. Siu and P.-F ...
... Method Using Character Touching Type Verification D. Nishiwaki and K. Yamada ...... 397 ..... 406 416 A New Template Representation and Extraction Method for Connected Handwritten Digit Recognition . Z. Lu , Z. Chi , W.-C. Siu and P.-F ...
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Saturs
Handwriting Recognition or Reading? | 3 |
Online Hand Writing Recognition by Discrete HMM with Fast Learning | 19 |
Optimization of Training Texts | 29 |
A Simple Yet Robust Structural Approach | 39 |
Diacritical Processing Using Efficient Accounting Procedures | 49 |
Coherent Knowledge Source Integration | 59 |
A Systematic Comparison of Advanced Modeling Techniques | 69 |
Legal Amount Recognition on French Bank Checks | 81 |
An Advanced Segmentation Technique for Cursive Word Recognition | 255 |
A Probabilistic Model for Candidate Selection | 277 |
Document Understanding | 297 |
Automatic Evaluation of Handwriting Qualities | 317 |
Recognition of a Handwritten Korean Character by Combining Segments | 327 |
Handwritten Korean Character Recognition | 347 |
Quantum Neural Network in Recognition of Handwritten Numerals | 368 |
Distinctiveness and Similarities of Handwritten Numerals | 387 |
Towards an Universal Approach to Background Removal | 91 |
Error Localization and Correction in Check Processing | 111 |
A Colour Classification Approach to Form Dropout | 131 |
Handwritten Word Recognition The Approach Proved by Practice | 153 |
Search Algorithms for the Recognition of Cursive Phrases | 173 |
A Method for the Determination of Features Used in Human Reading | 193 |
A HMMbased System for Recognition of Handwritten Address Words | 213 |
Robust Deformable Matching for Character Extraction | 235 |
Performance Comparison of Statistical and Neural Network Classifiers | 406 |
A New Template Representation and Extraction Method | 426 |
Multipleagent Architectures for the Classification of Handwritten Text | 439 |
Applying Bspline Wavelet Transform | 459 |
Fast Searching on Large Lexicons for Postprocessing | 479 |
Integration of Dictionaries in the Character Recognition | 498 |
Combining Shape Matrices and HMMS | 519 |
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algorithm allograph 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 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 rejection samples sequence shown speech recognition step string stroke structure Suen Table technique template threshold touching type vector quantizer vertical vowel word recognition writing