Analysis of Different Recognition Technique Classification and their Accuracy Measure over Odia Script-A Review
Rajat Ketan Sahu, Anita Minz, Sagarika Mishra, Chandrasekhar Panda · Zenodo (CERN European Organization for Nuclear Research) · 2017
This paper presents a literature review on character recognition techniques. (OCR) Optical Character Recognition frameworks are able to identify varieties of text styles and printed characters. This means that by scanning a document the device is able to essentially 'read' the content. Character identification is a requesting specialization of pattern recognition, machine learning, and advance image processing. Various work has been done as such far for independent Indian language like Hindi, Urdu, Gujarati, Punjabi and onward. The latest research in this area has been capable to grow some new methodologies to overcome the difficulty of Odia writing style. Be that as it may, narrow exploration has been done over on odia content. Thus far various techniques are projected for segmentation, feature extraction, classification, and recognition tasks of Odia characters. This paper tries to review, their relative strength and weakness unit layout done by various research worker over on Odia content in last few years. The basic objective of this paperwork is to nearby present an overview of different existing methods that have been developed to recognize Odia character throughout last decade. The paper may be a concern the individuals who are interested to work in the fields of acknowledgment of Odia script.