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Offline Handwritten Devanagari Character Identification

  • Gita SinhaEmail author
  • Shailja Sharma
Conference paper
  • 43 Downloads
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 49)

Abstract

Handwritten character identification is a most torrid area of research where countless researchers have presented their work and is still an area less than research to accomplish higher identification accuracy. In earlier period acquisition, storing and exchanging information in type of handwritten script was the well-situated way and is still widespread as a convenient medium in the era of digital equipment. As advanced technology like tablet has been used and many comparable devices that allows humans to key in data in form of handwriting character. Manuscript is written by the use of paper and then converting to an image via scanner, identify handwritten characters as of the image is well-known as off-line handwritten character identification is a demanding work due to the fact that each author will have diverse style of writing and all scripts have their own character set and complexities to write.

Keywords

Identification of handwritten devnagari character Off-line handwriting identification of character Image pre-processing Segmentation Feature determine technique Classification methods 

Notes

Acknowledgement

I am extremely appreciative to my respected project guide Dr. Shailja Sharma and Head of Dept. Dr. Sanjiv Kumar Gupta for his thoughts and facilitate to be valuable and helpful during the conception of this review paper. I would like to express thanks all the faculties who have support me during my review paper. At last, I am grateful to my associates who mutual their knowledge in this field.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.CSE DepartmentRNTUBhopalIndia

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