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 64.
xi. lappuse
... Detection of Handwritings.................................................................. 459 L. H. Yang, Y. Y. Tang, L. Feng and Z. H. Yang Tree Search Technique for the Optimization of the k Nearest Neighbors Algorithm......
... Detection of Handwritings.................................................................. 459 L. H. Yang, Y. Y. Tang, L. Feng and Z. H. Yang Tree Search Technique for the Optimization of the k Nearest Neighbors Algorithm......
9. lappuse
... detecting the order of primitives derived from the handwriting signals [X(t), Y(t)} or extracted from the image {F(x,y)]. It is not absolutely necessary to reconstruct the exact sequence in which the strokes have been drawn initially ...
... detecting the order of primitives derived from the handwriting signals [X(t), Y(t)} or extracted from the image {F(x,y)]. It is not absolutely necessary to reconstruct the exact sequence in which the strokes have been drawn initially ...
10. lappuse
... detect regularities and singularities of the handwriting drawing, to recognize the fundamental shapes of the primitives and of the strokes, to detect the relative positions and sizes of the primitives, of the letters, of the diacritics ...
... detect regularities and singularities of the handwriting drawing, to recognize the fundamental shapes of the primitives and of the strokes, to detect the relative positions and sizes of the primitives, of the letters, of the diacritics ...
11. lappuse
... detect the minimum amount of pertinent information needed to discriminate between very similar shapes. • Perception of the global visual shape According to the Gestalt theory a shape is perceived globally. It is not only the result of ...
... detect the minimum amount of pertinent information needed to discriminate between very similar shapes. • Perception of the global visual shape According to the Gestalt theory a shape is perceived globally. It is not only the result of ...
40. lappuse
... detection of exact or approximate subgraph isomorphism is known to be intractable". On the other hand, string matching is of polynomial time complexity, but its expressive power is much lower. When efficiency is our major concern, like ...
... detection of exact or approximate subgraph isomorphism is known to be intractable". On the other hand, string matching is of polynomial time complexity, but its expressive power is much lower. When efficiency is our major concern, like ...
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