Performance Analysis of Structure Similarity Algorithm for the Recognition of Printed Cursive English Alphabets

Authors

  • Dr. Girish S. Katkar  Head, Department of Computer Science, Taywade College, Koradi, RTM Nagpur University
  • Mr. Madhur V. Kapoor  Research Scholar, Department of Computer Science, Taywade College, Koradi, RTM Nagpur University

Keywords:

SSIM, Structure Similarity algorithm, printed characters

Abstract

In this paper we analyse the performance of Structure Similarity algorithm for the recognition of printed cursive english alphabets, SSIM is a structural method suitable for printed characters but not efficient for cursive handwriiten characters.

References

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International Journal of Scientific Research in Science and Technology

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Published

2021-10-30

Issue

Volume 8, Issue 5, September-October-2021

Section

Research Articles

License

Copyright (c) IJSRST

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dr. Girish S. Katkar, Mr. Madhur V. Kapoor "Performance Analysis of Structure Similarity Algorithm for the Recognition of Printed Cursive English Alphabets " International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 8, Issue 5, pp.555-559, September-October-2021.