Abstract

this paper is practically interested in the unchangeable feature of Arabic handwritten character. It presents results of comparative study achieved on certain features extraction techniques of handwritten character, based on Hough transform, Fourier transform, Wavelet transform and Gabor Filter. Obtained results show that Hough Transform and Gabor filter are insensible to the rotation and translation, Fourier Transform is sensible to the rotation but insensible to the translation, in contrast to Hough Transform and Gabor filter, Wavelets Transform is sensitive to the rotation as well as to the translation.

Highlights

  • In order to improve the recognition rate of Arabic handwritten character, several techniques based on geometric correction or mathematic transform have been tested and applied on the input image of such writing

  • We calculate the gravity center of the connected component contained in each block which is used in the voting procedure of the Hough transform

  • Interpretation: The previous results show that: The four feature extraction techniques can give interesting recognition rates depending to the initial conditions of the Arabic writing, Hough Transform and Gabor filter are insensible to the rotation and translation, Hough Transform and Gabor filter are efficient and strong tools for the detection of remarkable shapes in a picture, Hough Transform, was very slow because of the corresponding complexity, Fourier Transform is sensible to the rotation but insensible to the translation, In contrast to Hough Transform and Gabor filter, Wavelets Transform is sensitive to the rotation as well as to the translation, The writing size variation doesn’t have an influence on the recognition average time for the four studied extraction techniques

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Summary

A Comparative study of Arabic handwritten characters invariant feature

Abstract—this paper is practically interested in the unchangeable feature of Arabic handwritten character. It presents results of comparative study achieved on certain features extraction techniques of handwritten character, based on Hough transform, Fourier transform, Wavelet transform and Gabor Filter. Obtained results show that Hough Transform and Gabor filter are insensible to the rotation and translation, Fourier Transform is sensible to the rotation but insensible to the translation, in contrast to Hough Transform and Gabor filter, Wavelets Transform is sensitive to the rotation as well as to the translation

INTRODUCTION
THE RETAINED SYSTEM
Hough Transform
Wavelet Transform
Gabor Filter
Fourier Transform
The classification by Euclidean Distance
Test and evaluation
Interpretation: The previous results show that
CONCLUSION AND FUTURE WORK
Full Text
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