Using morphology in document image processing

Vicente P. Concepcion; Matthew P. Grzech; Donald P. D'Amato

doi:10.1117/12.50380

1 November 1991 Using morphology in document image processing

Vicente P. Concepcion, Matthew P. Grzech, Donald P. D'Amato

Proceedings Volume 1606, Visual Communications and Image Processing '91: Image Processing; (1991) https://doi.org/10.1117/12.50380
Event: Visual Communications, '91, 1991, Boston, MA, United States

Abstract

To improve the readability, image compression, and optical character recognition (OCR) system performance for two-tone (binary) text image data, we investigated morphological methods of image processing. We found them to be fast and effective not only with noise text images but with relatively noise-free images as well. Using morphology, we improved text image readability as judged in a blind test, increased compression ratio using CCITT Group 4, and reduced OCR error (cluster) rates in a commercial omnifront scanner.

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Vicente P. Concepcion, Matthew P. Grzech, and Donald P. D'Amato "Using morphology in document image processing", Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); https://doi.org/10.1117/12.50380

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