مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Information Journal Paper

Title

PERSIAN PRINTED DOCUMENT ANALYSIS AND PAGE SEGMENTATION

Pages

  9-23

Abstract

 This paper presents, a hybrid method, low-resolution and high-resolution, for Persian PAGE SEGMENTATION. In the low-resolution PAGE SEGMENTATION, a PYRAMIDAL IMAGE STRUCTURE is constructed for multiscale analysis and segments document image to a set of regions. By high-resolution PAGE SEGMENTATION, by CONNECTED COMPONENTS analysis, each region is segmented to homogeneous regions and identifying them as texts, images, and tables/drawings. The proposed method was experiment with the Persian documents. The result of these tests have shown that the proposed method provide more accurate and speed results.

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    APA: Copy

    BROUMANDNIA, ALI, & SHANBEHZADEH, JAMSHID. (2008). PERSIAN PRINTED DOCUMENT ANALYSIS AND PAGE SEGMENTATION. JOURNAL OF COMPUTER AND ROBOTICS, 1(1), 9-23. SID. https://sid.ir/paper/622635/en

    Vancouver: Copy

    BROUMANDNIA ALI, SHANBEHZADEH JAMSHID. PERSIAN PRINTED DOCUMENT ANALYSIS AND PAGE SEGMENTATION. JOURNAL OF COMPUTER AND ROBOTICS[Internet]. 2008;1(1):9-23. Available from: https://sid.ir/paper/622635/en

    IEEE: Copy

    ALI BROUMANDNIA, and JAMSHID SHANBEHZADEH, “PERSIAN PRINTED DOCUMENT ANALYSIS AND PAGE SEGMENTATION,” JOURNAL OF COMPUTER AND ROBOTICS, vol. 1, no. 1, pp. 9–23, 2008, [Online]. Available: https://sid.ir/paper/622635/en

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