24Jun 2017

CHARACTER RECOGNITION BASED ON SKELETONIZATION: A SURVEY.

  • Department of E&TC, SGGSIE & T, Nanded.
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In machine learning and pattern recognition the development of character recognition is an interesting area since 1970. There have been significant improvements in the research related to the recognition of printed as well as handwritten characters. Skeletonization is a crucial step in many digital image processing applications like palm recognition, medical imaging, fingerprint classification, etc. In the character recognition generally steps to be followed are preprocessing, segmentation, feature extraction, classification, and post-processing. There have been a number of methods and algorithm based on the skeletonization techniques is present in every step of character recognition process which is used to measure the parameters such as a number of connected components, skeletonization, thinning rate, and execution time, performance evaluation, etc. In this paper, different skeletonization algorithm for print as well as handwritten text in each step of character recognition is summarized and surveyed which algorithm is the best choice for the particular application and in future how this will be useful for the Devanagari character and digits recognition is best described in the paper.

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[Chetan A. Sultane, Milind V. Bhalerao and Sanjiv V. Bonde. (2017); CHARACTER RECOGNITION BASED ON SKELETONIZATION: A SURVEY. Int. J. of Adv. Res. 5 (Jun). 1503-1519] (ISSN 2320-5407). www.journalijar.com

Chetan Sultane
M.tech Student, IEEE student member, Department of E&TC, SGGSIE & T, Nanded

DOI:

Article DOI: 10.21474/IJAR01/4564      
DOI URL: https://dx.doi.org/10.21474/IJAR01/4564

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