Abstract

The matching and retrieval of the 2D shapes are challenging issues in object recognition and computer vision. The principal idea in this paper focus to propose an robust descriptor for indexing and retrieval Arabic hand print character. If we make an observation, we can show that some Arabic letters are completely similar with small deferent is represented by a dots. In this paper, we propose new hybrid descriptor based on Fourier coefficients. The proposed vector descriptor is constructed with Fourier coefficients and tow scalars parameters, the first parameter given by Euler number and the second represent the number of objects in the shape on the binary image. The choice of Fourier descriptor as part in the combination of proposed descriptor is based on studies of four well known descriptors based on, Zernike moments, Invariants Hu moments, Elliptic Fourier coefficients and Fourier coefficients. The comparative studies show that the hybrid descriptor gives good results using a test database constructed by Arabic Hand print letters. The results given by the proposed descriptor show the perfection and robustness of our method.

Citation details of the article

Journal: International Journal of Applied Mathematics
Journal ISSN (Print): ISSN 1311-1728
Journal ISSN (Electronic): ISSN 1314-8060
Volume: 32
Issue: 1
Year: 2019

DOI: 10.12732/ijam.v32i1.2

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