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Proceedings Paper

Reliable OCR solution for digital content re-mastering
Author(s): Xiaofan Lin
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Paper Abstract

This paper addresses the system's aspects of OCR solutions in the context of digital content re-mastering. It analyzes the unique requirements and challenges to implement a reliable OCR system in a high-volume and unattended environment. A new reliability metric is proposed and a practical solution based on the combination of multiple commercial OCR engines is introduced. Experimental results show that the combination system is both much more accurate and more reliable when compared with individual engines, thus it can fully satisfy the need of digital content re-mastering applications.

Paper Details

Date Published: 18 December 2001
PDF: 9 pages
Proc. SPIE 4670, Document Recognition and Retrieval IX, (18 December 2001); doi: 10.1117/12.450731
Show Author Affiliations
Xiaofan Lin, Hewlett-Packard Labs. (United States)


Published in SPIE Proceedings Vol. 4670:
Document Recognition and Retrieval IX
Paul B. Kantor; Tapas Kanungo; Jiangying Zhou, Editor(s)

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