A Brief Study of Feature Extraction and Classification Methods Used for Character Recognition of Brahmi Northern Indian Scripts
نویسندگان
چکیده
According to the 8th schedule of Indian constitution, there are 22 official languages and 122 regional languages prevalent in India. In the last few decades, the recognition of these scripts has been prominent area of research. Among these scripts most of the recognition research work has been done for Bangla, Devanagari, Gujrati, Gurumukhi and Telugu scripts etc. Commercial OCRs were available for various scripts like Latin, Japanese, Chinese, Roman, Arabic scripts. OCR systems for few Indian scripts are available and others are in the stage of development for preserving manuscripts and ancient literatures written in different Indian scripts and making digital libraries for the documents. Further, overall accuracy of the recognition, feature extraction and classification are crucial phases. This paper attempts to give a brief summary of various feature extraction and classification methods used for recognition process of Brahmi Northern Indian scripts by the researchers in last
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