Automated evaluation of OCR zoning
| Autor: | Thomas A. Nartker, George Nagy, Junichi Kanai, Stephen V. Rice |
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| Rok vydání: | 1995 |
| Předmět: |
Computer science
business.industry Applied Mathematics Pattern recognition Image segmentation Optical character recognition computer.software_genre Column (database) Set (abstract data type) Computational Theory and Mathematics Artificial Intelligence ComputingMethodologies_DOCUMENTANDTEXTPROCESSING Segmentation Computer vision Computer Vision and Pattern Recognition Artificial intelligence Zoning business computer Software |
| Zdroj: | IEEE Transactions on Pattern Analysis and Machine Intelligence. 17:86-90 |
| ISSN: | 0162-8828 |
| DOI: | 10.1109/34.368146 |
| Popis: | Many current optical character recognition (OCR) systems attempt to decompose printed pages into a set of zones, each containing a single column of text, before converting the characters into coded form. The authors present a methodology for automatically assessing the accuracy of such decompositions, and demonstrate its use in evaluating six OCR systems. > |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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