Performance Analysis of Structure Similarity Algorithm for the Recognition of Handwritten Urdu Characters

  • Unique Paper ID: 168209
  • Volume: 11
  • Issue: 5
  • PageNo: 567-571
  • 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 handwritten characters.

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 5
  • PageNo: 567-571

Performance Analysis of Structure Similarity Algorithm for the Recognition of Handwritten Urdu Characters

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