NDLI: An efficient approach to detection of type of text and removal of Shirorekha in curved and straight text

Content Provider	ACM Digital Library
Author	Sihag, Daulat Patnaik, Tushar Gupta, Shalu
Abstract	In Indian language, recognition of curved and multi-oriented text is difficult. In curved text, the shirorekha is curved and character will be at any rotated position. Also in case of multi-oriented text, the text is skewed at some angle. These issues make the recognition of this type of text complex [1][2]. In this paper, we propose envelope point approach for mode detection and direction of shirorekha (headline) of curved and multi-oriented text and removal of shirorekha of curved and straight text without any skew correction. This approach will be able to solve the recognition problem in orientations and multi-skew. Unlike water reservoir principle[1][2], the proposed approach detects direction of shirorekha by calculating the envelope point[2] for left, right, top and bottom side of the text and for removal of shirorekha, the relation is formed by filling the gap within and in between the characters.
Starting Page	1
Ending Page	5
Page Count	5
File Format	PDF
ISBN	9781605586984
DOI	10.1145/1577802.1577818
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-07-25
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Envelope point Shirorekha
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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An efficient approach to detection of type of text and removal of Shirorekha in curved and straight text