A Survey on Offline Handwriting Recognition Systems

Authors(5) :-Aathira Manoj, Priyanka Borate, Pankaj Jain, Vidya Sanas, Rupali Pashte

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.

Authors and Affiliations

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

Pre-processing, Segmentation, Feature extraction, Classification

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Publication Details

Published in : Volume 2 | Issue 2 | March-April 2016
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 253-257
Manuscript Number : IJSRSET162284
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

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.
Journal URL : http://ijsrset.com/IJSRSET162284

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