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Current Trends in Science and Technology

an Open Access Publication ISSN: 0976-9730 | 0976-9498

Engineering and Technology

Basic Process of Hand written Gurmukhi Character Recognition: Detailed Review

Dapinder Kaur, Neeraj Battish, Deepika Sood
1Asst. Professor CGC-COE Landran, Mohali. Email id: dapinder.coecse@cgc.edu.in 2Research Fellow CGC-COE Landran, Mohali. Email id: neerajbattish@yahoo.com 3Asst. Professor CGC-COE Landran, Mohali. Email id: deepika.coeapplied@cgc.edu.in
Online First: December 21, 2017
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Abstract

The scanned text image is a non editable however it has the content yet one can't alter it or roll out any improvement, if required, to that filtered record. This gives a premise to the optical character acknowledgment (OCR) hypothesis. OCR is the way toward perceiving a sectioned part of the examined picture as a character. The general OCR comprises of three noteworthy sub forms like division, highlight extraction and afterward arrangement. Diverse acknowledgment models have been advanced as of late and distinctive research gatherings are taking a shot at the acknowledgment of Gurmukhi words. Division, Feature Extraction and arrangement are the pivotal periods of the character acknowledgment prepare that impact the general precision of the acknowledgment procedure. This paper will provide the overview of different techniques used for segmentation, feature extraction and classification of Gurmukhi scripts by different researchers and the conclusion obtained by them.

  Submitted
Dec 21, 2017
Published
Dec 21, 2017
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