Title | ||
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An implicit segmentation-based method for recognition of handwritten strings of characters |
Abstract | ||
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This paper describes an implicit segmentation-based method for recognition of strings of characters (words or numerals). In a two-stage HMM-based method, an implicit segmentation is applied to segment either words or numeral strings, and in the verification stage, foreground and background features are combined to compensate the loss in terms of recognition rate when segmentation and recognition are performed in the same process. A rigorous experimental protocol shows the performance of the proposed method for isolated characters, numeral strings, and words. |
Year | DOI | Venue |
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2006 | 10.1145/1141277.1141468 | SAC |
Keywords | Field | DocType |
verification stage,background feature,rigorous experimental protocol,two-stage hmm-based method,numeral string,isolated character,recognition rate,handwritten string,implicit segmentation,implicit segmentation-based method,edit distance,xml,classification | Edit distance,Document classification,Scale-space segmentation,Pattern recognition,XML,Segmentation,Computer science,Speech recognition,Artificial intelligence,Hidden Markov model,Numeral system | Conference |
ISBN | Citations | PageRank |
1-59593-108-2 | 8 | 4.49 |
References | Authors | |
16 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Paulo Rodrigo Cavalin | 1 | 83 | 16.37 |
Alceu De Souza Britto, Jr. | 2 | 200 | 12.91 |
Flávio Bortolozzi | 3 | 609 | 47.04 |
Robert Sabourin | 4 | 368 | 37.75 |
L. S. Oliveira | 5 | 385 | 25.17 |