Document Image Analysis For Reading Books

Yoshitake Tsuji; Jun Tsukumo; Ko Asai

doi:10.1117/12.941320

14 October 1987 Document Image Analysis For Reading Books

Yoshitake Tsuji, Jun Tsukumo, Ko Asai

Proceedings Volume 0804, Advances in Image Processing; (1987) https://doi.org/10.1117/12.941320
Event: Fourth International Symposium on Optical and Optoelectronic Applied Sciences and Engineering, 1987, The Hague, Netherlands

Abstract

A fundamental problem in machine vision is to detect and identify special objects in an image. In the field of machine-reading for existing printed matter and books, a very important technique allows extracting and recognizing characters in desired text lines from a document image. This paper describes a hierarchical image segmentation, which separates a document image into its entities. Furthermore, a character segmentation, with minimum variance criterion, and a character recognition, based on three improved loci feature, have been developed as two elemental methods for reading books. In these experimental results using different commercial Japanese pocket books, 99% of text lines were correctly extracted. Also, it was successful in reading 99.30% of the Japanese characters and Chinese ideographs, as used in printed text.

Citation Download Citation

Yoshitake Tsuji, Jun Tsukumo, and Ko Asai "Document Image Analysis For Reading Books", Proc. SPIE 0804, Advances in Image Processing, (14 October 1987); https://doi.org/10.1117/12.941320

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