Character Segmentation for Telugu Image Document using Multiple Histogram Projections

Prof E.Sreenivasa Reddy; anupama namburi

Character Segmentation for Telugu Image Document using Multiple Histogram Projections

Prof E.Sreenivasa Reddy * §

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anupama namburi

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v12.balaji

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§ ANU

Character Segmentation for Telugu Image Document using Multiple Histogram Projections

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Abstract

TEXT line segmentation is one of the major component of document image analysis. Text line segmentation is necessary to detect all text regions in the document image. In this paper we propose an algorithm based on multiple histogram projections using morphological operators to extract features of the image. Horizontal projection is performed on the text image, and then line segments are identified by the peaks in the horizontal projection. Threshold is applied to divide the text image into segments. False lines are eliminated using another threshold. Vertical histogram projections are used for the line segments and decomposed into words using threshold and further decomposed to characters. This approach provides best performance based on the experimental results such as Detection rate DR (98%) and Recognition Accuracy RA (98%).

References

16 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Prof E.Sreenivasa Reddy, anupama namburi, v12.balaji. 2013. "Character Segmentation for Telugu Image Document using Multiple Histogram Projections". Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 13 (GJCST Volume 13 Issue F5).

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GJCST Volume 13 Issue F5

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

histogram projection Optical Character Recognition segmentation telugu scripts

Classification

GJCST-F Classification I.4.6

Submission ReceivedDecember 14, 2012
Peer Review Double Blind
Handling Editor
Accepted January 4, 2013
Published January 15, 2013

Version of record

v1.2

Issue date

June 29, 2013

Language

English

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Article Matrices

Total Score: 143

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: N.Anupama, Ch.Rupa, Prof E.Sreenivasa Reddy (PhD/Dr. count: 0)

View Count (all-time): 368

Total Views (Real + Logic): 2157

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Publish Date: 2013 01, Tue

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Total Views: 2.2K

Total Downloads: 138

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