Optical character recognition : An illustrated guide to the frontier
Identifieur interne :
000742 ( PascalFrancis/Corpus );
précédent :
000741;
suivant :
000743
Optical character recognition : An illustrated guide to the frontier
Auteurs : G. Nagy ;
T. A. Nartker ;
S. V. RiceSource :
-
SPIE proceedings series [ 1017-2653 ] ; 2000.
RBID : Pascal:01-0029148
Descripteurs français
English descriptors
Abstract
We offer a perspective on the performance of current OCR systems by illustrating and explaining actual OCR errors made by three commercial devices. After discussing briefly the character recognition abilities of humans and computers, we present illustrated examples of recognition errors. The top level of our taxonomy of the causes of errors consists of Imaging Defects, Similar Symbols, Punctuation, and Typography. The analysis of a series of "snippets" from this perspective provides insight into the strengths and weaknesses of current systems, and perhaps a road map to future progress. The examples were drawn from the large-scale tests conducted by the authors at the Information Science Research Institute of the University of Nevada, Las Vegas. By way of conclusion, we point to possible approaches for improving the accuracy of today's systems. The talk is based on our eponymous monograph, recently published in The Kluwer International Series in Engineering and Computer Science, Kluwer Academic Publishers, 1999.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
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| A05 | | | | @2 3967 |
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| A08 | 01 | 1 | ENG | @1 Optical character recognition : An illustrated guide to the frontier |
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| A09 | 01 | 1 | ENG | @1 Document recognition and retrieval VII : San Jose CA, 26-27 January 2000 |
|---|
| A11 | 01 | 1 | | @1 NAGY (G.) |
|---|
| A11 | 02 | 1 | | @1 NARTKER (T. A.) |
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| A11 | 03 | 1 | | @1 RICE (S. V.) |
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| A12 | 01 | 1 | | @1 LOPRESTI (Daniel P.) @9 ed. |
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| A12 | 02 | 1 | | @1 JIANGYING ZHOU @9 ed. |
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| A14 | 01 | | | @1 Dept. of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute @2 Troy, NY 12180 @3 USA @Z 1 aut. |
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| A14 | 02 | | | @1 Dept. of Computer Science, University of Nevada @2 Las Vegas, NV 89154 @3 USA @Z 2 aut. |
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| A14 | 03 | | | @1 Comparisonics Corporation @2 Grass Valley, CA 95945 @3 USA @Z 3 aut. |
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| C01 | 01 | | ENG | @0 We offer a perspective on the performance of current OCR systems by illustrating and explaining actual OCR errors made by three commercial devices. After discussing briefly the character recognition abilities of humans and computers, we present illustrated examples of recognition errors. The top level of our taxonomy of the causes of errors consists of Imaging Defects, Similar Symbols, Punctuation, and Typography. The analysis of a series of "snippets" from this perspective provides insight into the strengths and weaknesses of current systems, and perhaps a road map to future progress. The examples were drawn from the large-scale tests conducted by the authors at the Information Science Research Institute of the University of Nevada, Las Vegas. By way of conclusion, we point to possible approaches for improving the accuracy of today's systems. The talk is based on our eponymous monograph, recently published in The Kluwer International Series in Engineering and Computer Science, Kluwer Academic Publishers, 1999. |
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| C03 | 01 | X | ENG | @0 Optical character recognition @5 01 |
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| C03 | 01 | X | SPA | @0 Reconocimento óptico de caracteres @5 01 |
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| C03 | 02 | X | FRE | @0 Evaluation système @5 02 |
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| C03 | 02 | X | ENG | @0 System evaluation @5 02 |
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| C03 | 02 | X | SPA | @0 Evaluación sistema @5 02 |
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| C03 | 03 | X | ENG | @0 Error @5 03 |
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| C03 | 03 | X | SPA | @0 Error @5 03 |
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| C03 | 04 | X | FRE | @0 Typologie @5 04 |
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Format Inist (serveur)
| NO : | PASCAL 01-0029148 INIST |
|---|
| ET : | Optical character recognition : An illustrated guide to the frontier |
|---|
| AU : | NAGY (G.); NARTKER (T. A.); RICE (S. V.); LOPRESTI (Daniel P.); JIANGYING ZHOU |
|---|
| AF : | Dept. of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute/Troy, NY 12180/Etats-Unis (1 aut.); Dept. of Computer Science, University of Nevada/Las Vegas, NV 89154/Etats-Unis (2 aut.); Comparisonics Corporation/Grass Valley, CA 95945/Etats-Unis (3 aut.) |
|---|
| DT : | Publication en série; Congrès; Niveau analytique |
|---|
| SO : | SPIE proceedings series; ISSN 1017-2653; Etats-Unis; Da. 2000; Vol. 3967; Pp. 58-69; Bibl. 1 ref. |
|---|
| LA : | Anglais |
|---|
| EA : | We offer a perspective on the performance of current OCR systems by illustrating and explaining actual OCR errors made by three commercial devices. After discussing briefly the character recognition abilities of humans and computers, we present illustrated examples of recognition errors. The top level of our taxonomy of the causes of errors consists of Imaging Defects, Similar Symbols, Punctuation, and Typography. The analysis of a series of "snippets" from this perspective provides insight into the strengths and weaknesses of current systems, and perhaps a road map to future progress. The examples were drawn from the large-scale tests conducted by the authors at the Information Science Research Institute of the University of Nevada, Las Vegas. By way of conclusion, we point to possible approaches for improving the accuracy of today's systems. The talk is based on our eponymous monograph, recently published in The Kluwer International Series in Engineering and Computer Science, Kluwer Academic Publishers, 1999. |
|---|
| CC : | 001A01G02B; 205 |
|---|
| FD : | Reconnaissance optique caractère; Evaluation système; Erreur; Typologie; Amélioration; Difficulté tâche; Cause; ISRI (Information Science Research Institute) |
|---|
| ED : | Optical character recognition; System evaluation; Error; Typology; Improvement; Task difficulty; Cause |
|---|
| SD : | Reconocimento óptico de caracteres; Evaluación sistema; Error; Tipología; Mejoría; Dificultad tarea; Causa |
|---|
| LO : | INIST-21760.354000090075690070 |
|---|
| ID : | 01-0029148 |
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Links to Exploration step
Pascal:01-0029148
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<ET>Optical character recognition : An illustrated guide to the frontier</ET>
<AU>NAGY (G.); NARTKER (T. A.); RICE (S. V.); LOPRESTI (Daniel P.); JIANGYING ZHOU</AU>
<AF>Dept. of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute/Troy, NY 12180/Etats-Unis (1 aut.); Dept. of Computer Science, University of Nevada/Las Vegas, NV 89154/Etats-Unis (2 aut.); Comparisonics Corporation/Grass Valley, CA 95945/Etats-Unis (3 aut.)</AF>
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<EA>We offer a perspective on the performance of current OCR systems by illustrating and explaining actual OCR errors made by three commercial devices. After discussing briefly the character recognition abilities of humans and computers, we present illustrated examples of recognition errors. The top level of our taxonomy of the causes of errors consists of Imaging Defects, Similar Symbols, Punctuation, and Typography. The analysis of a series of "snippets" from this perspective provides insight into the strengths and weaknesses of current systems, and perhaps a road map to future progress. The examples were drawn from the large-scale tests conducted by the authors at the Information Science Research Institute of the University of Nevada, Las Vegas. By way of conclusion, we point to possible approaches for improving the accuracy of today's systems. The talk is based on our eponymous monograph, recently published in The Kluwer International Series in Engineering and Computer Science, Kluwer Academic Publishers, 1999.</EA>
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