Literature DB >> 20975114

Script recognition--a review.

Debashis Ghosh1, Tulika Dube, Adamane P Shivaprasad.   

Abstract

A variety of different scripts are used in writing languages throughout the world. In a multiscript, multilingual environment, it is essential to know the script used in writing a document before an appropriate character recognition and document analysis algorithm can be chosen. In view of this, several methods for automatic script identification have been developed so far. They mainly belong to two broad categories-structure-based and visual-appearance-based techniques. This survey report gives an overview of the different script identification methodologies under each of these categories. Methods for script identification in online data and video-texts are also presented. It is noted that the research in this field is relatively thin and still more research is to be done, particularly in the case of handwritten documents.

Year:  2010        PMID: 20975114     DOI: 10.1109/TPAMI.2010.30

Source DB:  PubMed          Journal:  IEEE Trans Pattern Anal Mach Intell        ISSN: 0098-5589            Impact factor:   6.226


  2 in total

1.  Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition.

Authors:  Szilárd Vajda; Yves Rangoni; Hubert Cecotti
Journal:  Pattern Recognit Lett       Date:  2015-06-01       Impact factor: 3.756

2.  Optical character recognition system for Baybayin scripts using support vector machine.

Authors:  Rodney Pino; Renier Mendoza; Rachelle Sambayan
Journal:  PeerJ Comput Sci       Date:  2021-02-15
  2 in total

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