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Erschienen in:
Human Action Recognition Using Trajectory-Based Spatiotemporal Descriptors Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Handwritten Mixed-Script Recognition System: A Comprehensive Approach

verfasst von : Pawan Kumar Singh, Supratim Das, Ram Sarkar, Mita Nasipuri

Erschienen in: Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications

Verlag: Springer Singapore

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Abstract

Most of the researchers around the world focus on developing monolingual Optical Character Recognition (OCR) systems. But in a multilingual country like India, it is quite common that a single document page includes text words written in more than one script. Therefore, OCRing such documents need a script identification module as a prerequisite. This paper reports a complete script recognition system for handwritten mixed-script documents. The document pages are first segmented into their corresponding text-lines and words. Then, the script recognition is done at word-level using texture-based features. The present technique is applied on 100 mixed-script document pages written in Bangla or Devanagari text mixed with English words. Encouraging outcomes would motivate more researchers to work on multilingual handwriting recognition domain.

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Vorheriges Kapitel Active Steganalysis on SVD-Based Embedding Algorithm
Nächstes Kapitel A Rule-Based Approach to Identify Stop Words for Gujarati Language
Literatur
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Obaidullah, S.M., Kundu, S.K., Roy, K.: A System for Handwritten Script Identification from Indian Document. Journal of Pattern Recognition Research. 8, 1–12 (2013).
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Padma, M.C., Vijaya, P.A.: Global Approach for Script Identification using Wavelet Packet Based Features. International Journal of Signal Processing, Image Processing and Pattern Recogntion. 20, 29–40 (2010).
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Hiremath, P.S., Shivshankar, S., Pujari, J.D., Mouneswara, V.: Script identification in a handwritten document image using texture features. In: IEEE 2nd International Conference on Advance Computing. pp. 110–114 (2010).
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Hangarge, M., Dhandra, B. V: Offline Handwritten Script Identification in Document Images. International Journal of Computer Applications (IJCA). 4, (2010).
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Metadaten
Titel
Handwritten Mixed-Script Recognition System: A Comprehensive Approach
verfasst von
Pawan Kumar Singh
Supratim Das
Ram Sarkar
Mita Nasipuri
Copyright-Jahr
2017
Verlag
Springer Singapore
Buch
Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications

Print ISBN: 978-981-10-3152-6

Electronic ISBN: 978-981-10-3153-3

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-981-10-3153-3_78

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