Survey of Post-Processing Methods For Cursive Handwriting Recognition System

Authors

  • Ann Jisna James Department of Computer Engineering, P.C.C.O.E,Pune
  • Prof.Reena Kharat Department of Computer Engineering, P.C.C.O.E,Pune

Keywords:

OCR(Optical Character recognition),Post Processing

Abstract

A vast amount of data to this date is present in physical format stored in handwritten or printed formats.Such
data are susceptible to be lost over a long period of time due to various factors such as the storage material,climate etc.Also
the form of data is not widely available and information in such case is restricted to the geographical arena in which this
material might be available.Hence the need to digital this information for its proper storage as well as wider reach to
community . OCR has been profoundly used for this purpose,which converts the image of handwritten or typed text into
machine encoded.Therefore a need arises to recognize the right words and discard the incorrect after this process to obtain
meaningful and authentic data.Hence post processing methods for error correction needs to be placed in the system.The
following paper makes an attempt to survey the present error correction methodologies.

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Published

2018-03-25

How to Cite

Ann Jisna James, & Prof.Reena Kharat. (2018). Survey of Post-Processing Methods For Cursive Handwriting Recognition System. International Journal of Advance Engineering and Research Development (IJAERD), 5(3), 837–843. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/5480

Issue

Vol. 5 No. 3 (2018): Volume 5 Issue 3 March 2018

Section

Articles