Evaluation of parallel thinning algorithms for character recognition
Identifieur interne : 000A49 ( PascalFrancis/Corpus ); précédent : 000A48; suivant : 000A50Evaluation of parallel thinning algorithms for character recognition
Auteurs : L. Lam ; C. Y. SuenSource :
- IEEE Transactions on Pattern Analysis and Machine Intelligence [ 0162-8828 ] ; 1995.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
Skeletonization algorithms have played an important role in the preprocessing phase of OCR systems. In this paper we report on the performance of 10 recent parallel thinning algorithms from this perspective by gathering statistics from their performance on large sets of data and examining the effects of the different thinning algorithms on an OCR system.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
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Format Inist (serveur)
NO : | PASCAL 95-0527483 EI |
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ET : | Evaluation of parallel thinning algorithms for character recognition |
AU : | LAM (L.); SUEN (C. Y.) |
AF : | Concordia Univ/Montreal Que/Canada (1 aut.) |
DT : | Publication en série; Niveau analytique |
SO : | IEEE Transactions on Pattern Analysis and Machine Intelligence; ISSN 0162-8828; Coden ITPIDJ; Etats-Unis; Da. 1995; Vol. 17; No. 9; Pp. 914-919; Bibl. 28 Refs. |
LA : | Anglais |
EA : | Skeletonization algorithms have played an important role in the preprocessing phase of OCR systems. In this paper we report on the performance of 10 recent parallel thinning algorithms from this perspective by gathering statistics from their performance on large sets of data and examining the effects of the different thinning algorithms on an OCR system. |
CC : | 001D02C; 001D02B07B; 001D02B |
FD : | Application; Reconnaissance optique caractère; Traitement image; Système traitement parallèle; Performance; Algorithme parallèle; Théorie |
ED : | Parallel thinning algorithms; Skeletonization algorithms; Application; Optical character recognition; Image processing; Parallel processing systems; Performance; Parallel algorithms; Theory |
GD : | Anwendung |
SD : | Aplicación |
LO : | INIST-222 T |
ID : | 95-0527483 |
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Pascal:95-0527483Le document en format XML
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<front><div type="abstract" xml:lang="en">Skeletonization algorithms have played an important role in the preprocessing phase of OCR systems. In this paper we report on the performance of 10 recent parallel thinning algorithms from this perspective by gathering statistics from their performance on large sets of data and examining the effects of the different thinning algorithms on an OCR system.</div>
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<ET>Evaluation of parallel thinning algorithms for character recognition</ET>
<AU>LAM (L.); SUEN (C. Y.)</AU>
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