AFFINE-INVARIANT FOURIER DESCRIPTORS AND THEIR APPLICATION IN A NUMBER PLATE RECOGNIZING SYSTEM | Zendy

Thanh Hai Nguyen | Zendy; Pham The Long | Zendy; Nguyễn Công Định | Zendy

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AFFINE-INVARIANT FOURIER DESCRIPTORS AND THEIR APPLICATION IN A NUMBER PLATE RECOGNIZING SYSTEM

Author(s) -

Thanh Hai Nguyen,

Pham The Long,

Nguyễn Công Định

Publication year - 2017

Publication title -

asean journal on science and technology for development

Language(s) - English

Resource type - Journals

eISSN - 2224-9028

pISSN - 0217-5460

DOI - 10.29037/ajstd.256

Subject(s) - invariant (physics) , affine transformation , viewpoints , artificial intelligence , computer vision , fourier transform , computer science , pattern recognition (psychology) , cognitive neuroscience of visual object recognition , affine shape adaptation , mathematics , feature extraction , affine combination , pure mathematics , mathematical analysis , physics , acoustics , mathematical physics

This paper introduces a method for describing partial shapes that are affine-invariant. The proposed method facilitates the extraction of descriptors, which is effective for opened-curves and invariant to different viewpoints. This method helps to improve the performance and quality of real world object image recognizing systems. The proposed method was tested in a number plate recognition system.

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