Script Recognition-A Review

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, sev...

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Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence Jg. 32; H. 12; S. 2142 - 2161
Hauptverfasser: Ghosh, D, Dube, T, Shivaprasad, A P
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Los Alamitos, CA IEEE 01.12.2010
IEEE Computer Society
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithm design and analysis
Algorithms
Applied sciences
Artificial intelligence
Categories
Character recognition
Computer science; control theory; systems
Document analysis
Exact sciences and technology
Graphics
Intelligence
multiscript document
Natural languages
On-line systems
Online
optical character recognition
Optical character recognition software
Optical computing
Optical sensors
Pattern analysis
Pattern recognition. Digital image processing. Computational geometry
script identification
Scripts
Text analysis
Typesetting
Writing
Alphabet
Multilingualism
Methodology
Image processing
Video signal
Text
Pattern recognition
Character recognition
Optical character recognition
script identification
Manuscript character
Pattern analysis
Artificial intelligence
multiscript document
Algorithm analysis
Document analysis
ISSN:0162-8828, 1939-3539, 1939-3539
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung: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.
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ISSN:0162-8828
1939-3539
1939-3539
DOI:10.1109/TPAMI.2010.30