The Bible, truth, and multilingual OCR evaluation

Tapas Kanungo; Philip Resnik

doi:10.1117/12.335806

7 January 1999 The Bible, truth, and multilingual OCR evaluation

Tapas Kanungo, Philip Resnik

Author Affiliations +

Proceedings Volume 3651, Document Recognition and Retrieval VI; (1999) https://doi.org/10.1117/12.335806
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

In this paper we propose to use the Bible as a dataset for comparing OCR accuracy across languages. Besides being available in a wide range of languages, Bible translations are closely parallel in content, carefully translated, surprisingly relevant with respect to modern-day language, and quite inexpensive. A project at University of Maryland is currently implementing this idea. We have created a scanned image dataset with groundtruth from an Arabic Bible. We have also used image degradation models to create synthetically degraded images of a French Bible. We hope to generate similar Bible datasets for other languages, and we are exploring alternative corpora with similar properties such the Koran and the Bhagavad Gita. Quantitative OCR evaluation based on the Arabic Bible dataset is currently in progress.

Citation Download Citation

Tapas Kanungo and Philip Resnik "The Bible, truth, and multilingual OCR evaluation", Proc. SPIE 3651, Document Recognition and Retrieval VI, (7 January 1999); https://doi.org/10.1117/12.335806

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