Optical Character Recognition of 10 × 10 Size Binary Images

Autores/as

  • Syed Muhammad Bilal University of Engineering & Technology Taxila, Pakistan
  • Ahmed Sibghatullah College of Electrical & Mechanical Engineering, NUST, Rawalpindi, Pakistan

Palabras clave:

Optical character recognition (OCR), Euclidean distance

Resumen

Ten binary images of size 10 × 10 for each of the decimal numbers from 0 to 9 are considered for the simulation setup. Applying different processing techniques on these images, information contents were extracted. Initially, no noise was added in these images and character recognition of 100% was obtained. After that, noise is added in these images (i.e., images were distorted) but even then 9 out of 10 images were successfully recognized. In other words, approximately 90% successful character recognition was obtained.Keywords: Optical character recognition (OCR), Euclidean distance

Biografía del autor/a

  • Syed Muhammad Bilal, University of Engineering & Technology Taxila, Pakistan
    Lecturer, Electrical Engineering Department, University of Engineering & Technology Taxila, Pakistan

Publicado

2012-02-01

Número

Sección

Review Articles