Ancient Indian Scripts Image Pre-Processing and Dimensionality Reduction for Feature Extraction and Classification: A Survey

International Journal of Computer Trends and Technology (IJCTT)          
© 2015 by IJCTT Journal
Volume-21 Number-2
Year of Publication : 2015
Authors : Abhishek Tomar, Minu Choudhary, Amit Yerpude
DOI :  10.14445/22312803/IJCTT-V21P1116


Abhishek Tomar, Minu Choudhary, Amit Yerpude "Ancient Indian Scripts Image Pre-Processing and Dimensionality Reduction for Feature Extraction and Classification: A Survey". International Journal of Computer Trends and Technology (IJCTT) V21(2):85-93, March 2015. ISSN:2231-2803. Published by Seventh Sense Research Group.

Abstract -
Engravings, inscriptions and epigraphs were used from archaic era to preserve knowledge and the great sayings. Diversified scripts are used in writing languages across the globe, in such an environment it is necessary to understand the script and the languages in the images or document prior to selecting an apt character detection and document analysis or prehistoric inscription analysis algorithm. Numerous methods for the automatic character identification and script recognition have been recommended so far. This manuscript is a terse survey on the image prior-processing techniques, segmentation techniques and feature extraction and classification via dimensionality reduction techniques. Broad research has previously been done in this domain but the ancient inscription character recognition is still challenging and needs more efficient techniques. This review will serve as basis for the preliminarily to image pre-processing and the efficacy of dimensionality reduction approaches in feature and classification.

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Optical Character recognition (OCR), Image Processing, Feature Extraction and Classification, Principal Component Analysis (PCA), Independent Component Analysis (ICA), Simultaneous Blind Source Extraction (SBSE).