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A document image analysis and recognition system for Japanese family registration

  • Document Image Analysis
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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1035))

Abstract

A family registration data entry system with functions for automatic form layout analysis and character recognition was developed. The layout analysis module first detects characters and ruled lines by using information on the top and bottom boundaries of smeared black components. It then determines the layout and identifies each field in the layout by comparing predefined models with detected lines. Character strings in the fields are recognized and matched with a dictionary to check whether a sequence is plausible as a Japanese word or not. The text data are registered in a database after they have been examined by an operator and keywords have been extracted. This system was actually used for the initial entry of typed family registration forms in Tokyo's Toshima Ward, which contributed to establish the first computerized family registration system in Japan.

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References

  1. Amano T. et al.: “A Character-String Detection Algorithm Using Horizontal Boundaries and Its Application to a Part-Number Entry System”, Proc. SPIE, Vol. 1, 452, pp. 330–339 (1991).

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  2. Itoh N. and Takahashi H.: “A Hand-written Numeral Verification Method Using Distribution Maps of Structural Features”, Proc. SPIE, Vol. 1, 258, pp. 150–159 (1990).

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  3. Takahashi H.: “A simple recognition method for handwritten Kanji characters by using primitive connective directions of thinning”, Trans. IEICE Japan, Vol. PRL82-8, pp. 57–62 (1982), in Japanese.

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  4. Amano T. et al.: “DRS: A Workstation-Based Document Recognition System for Text Entry”, IEEE Computer, 25, 7, pp. 67–71 (1992).

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  5. Itoh N. and Maruyama H.: “A Method of Detecting Errors in the results of Japanese OCR”, Trans. IPSJ, 33, 5, pp. 664–670 (1992), in Japanese.

    Google Scholar 

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Stan Z. Li Dinesh P. Mital Eam Khwang Teoh Han Wang

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© 1996 Springer-Verlag Berlin Heidelberg

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Amano, T., Toyokawa, K., Mano, T., Toriyama, S. (1996). A document image analysis and recognition system for Japanese family registration. In: Li, S.Z., Mital, D.P., Teoh, E.K., Wang, H. (eds) Recent Developments in Computer Vision. ACCV 1995. Lecture Notes in Computer Science, vol 1035. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60793-5_111

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  • DOI: https://doi.org/10.1007/3-540-60793-5_111

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60793-9

  • Online ISBN: 978-3-540-49448-5

  • eBook Packages: Springer Book Archive

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