Proceedings ArticleDOI
SVM Based Scheme for Thai and English Script Identification
Sukalpa Chanda,Oriol Ramos Terrades,Umapada Pal +2 more
- Vol. 1, pp 551-555
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TLDR
A SVM based method is proposed for identification of word-wise printed English and Thai scripts from a single line of a document page and 99.36% script identification accuracy is obtained from the proposed scheme.Abstract:
In some Thai documents, a single text line of a document page may contain both Thai and English scripts. For the optical character recognition (OCR) of such a document page it is better to identify, at first, Thai and English script portions and then to use individual OCR system of the respective scripts on these identified portions. In this paper, a SVM based method is proposed for identification of word-wise printed English and Thai scripts from a single line of a document page. Here, at first, the document is segmented into lines and then lines are segmented into character groups (words). In the proposed scheme, we identify the script of the individual character group combining different character features obtained from structural shape, profile, component overlapping information, topological properties, water reservoir concept etc. Based on the experiment on 6110 data we obtained 99.36% script identification accuracy from the proposed scheme.read more
Citations
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Character and numeral recognition for non-Indic and Indic scripts: a survey
TL;DR: A comprehensive survey on character and numeral recognition of non-Indic and Indic scripts is presented and major challenges/issues for character/numeral recognition are examined.
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Script Identification of Multi-Script Documents: A Survey
TL;DR: The most vital processes in script identification are addressed in detail: identification and discriminating methods, features extraction (local and global, and classification), and classification.
Proceedings ArticleDOI
Video Script Identification Based on Text Lines
TL;DR: A new method for video script identification which is essential before choosing an appropriate OCR engine for identifying text lines when a video frame contains more than one language is presented.
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New Gradient-Spatial-Structural Features for video script identification
TL;DR: This paper proposes to integrate the spatial and the structural features based on end points, intersection points, junction points and straightness of the skeleton of text components in a novel way to identify the scripts.
Proceedings ArticleDOI
New Spatial-Gradient-Features for Video Script Identification
TL;DR: New features based on Spatial-Gradient-Features (SGF) at block level for identifying six video scripts namely, Arabic, Chinese, English, Japanese, Korean and Tamil are presented, which helps in enhancing the capability of the current OCR on video text recognition by choosing an appropriate OCR engine when video contains multi-script frames.
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