A Survey on Offline Handwriting Recognition Systems

Authors

  • Aathira Manoj  Computer Engineering, PVPPCOE, Mumbai, Maharashtra, India
  • Priyanka Borate  Computer Engineering, PVPPCOE, Mumbai, Maharashtra, India
  • Pankaj Jain  Computer Engineering, PVPPCOE, Mumbai, Maharashtra, India
  • Vidya Sanas  Computer Engineering, PVPPCOE, Mumbai, Maharashtra, India
  • Rupali Pashte  Computer Engineering, PVPPCOE, Mumbai, Maharashtra, India

Keywords:

Pre-processing, Segmentation, Feature extraction, Classification

Abstract

Handwriting recognition is one of the most challenging and fascinating areas in the field of image processing and machine learning. Its various practical applications include digitizing documents, reading handwritten notes and addresses on postcards, reading the amounts on checks and so on. This paper provides an overview of the different techniques used in the different phases of offline handwriting recognition.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2017-12-31

Issue

Volume 2, Issue 2, March-April-2016

Section

Research Articles

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How to Cite

[1]
Aathira Manoj, Priyanka Borate, Pankaj Jain, Vidya Sanas, Rupali Pashte, " A Survey on Offline Handwriting Recognition Systems, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.253-257, March-April-2016.