Download PDFOpen PDF in browser

A Comparative study on Handwritten Devanagari Character Recognition

EasyChair Preprint no. 3668

10 pagesDate: June 22, 2020


Handwritten text recognition is a challenging task because of the vast changes in writing styles. In India, a massive number of people use Devanagari Script to write their documents, but due to large complexity, research work accomplished on this script is much lesser as com¬pared to English script. Hence, recognition of handwritten Devanagari Script is amongst the most demanding research areas in the field of image processing. Feature extraction and recognition are key steps of OCR which affects the accuracy of the character recognition system. This paper gives a comparative study on distinct techniques used for feature extraction and classification by the researchers over the last few years.

Keyphrases: ANN, CNN, Devanagari script, k-NN, OCR, SVM

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Manoj Sonkusare and Roopam Gupta and Asmita Moghe},
  title = {A Comparative study on Handwritten Devanagari Character Recognition},
  howpublished = {EasyChair Preprint no. 3668},

  year = {EasyChair, 2020}}
Download PDFOpen PDF in browser