Line Based Robust Script Identification for Indian Languages
Keywords:
Feature extraction, hierarchical classification, script identificationAbstract
In this paper a line based script identification
using a hierarchical classification scheme is proposed to
identify the Indian scripts includes Hindi, Gurumukhi and Bangla. We model the problem as topological, structural classification problem and examine the features inspired by human visual perception. Our basic algorithm uses different feature set at different level of classifier to optimize the tradeoff between accuracy and speed. The feature extraction is done on the subsets of image which in turn increases the performance of algorithm. The proposed system attains overall
classification accuracy of 90% over the 2500+ text image data set.
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