نتایج جستجو برای: zernike moment zm
تعداد نتایج: 62588 فیلتر نتایج به سال:
This paper presents a new class of Tchebichef moments in polar coordinate form, using which rotational invariants can be easily constructed. The structure of the invariants is very similar to that of Zernike and Pseudo-Zernike moments, and their computation does not involve discrete approximation of continuous integral terms. The invariants are thus very robust in the presence of image noise, a...
Image hashing maps an image to a short binary sequence representing the image’s characteristics. This paper proposes a new image hashing method using Zernike moments that are an effective means for extracting robust features from an image. The method is based on rotation invariance of magnitudes and corrected phases of Zernike moments. Similarity between hashes is measured with the Hamming dist...
Hand-gesture recognition presents a challenging problem for computer vision due to the articulated structure of the human hand and the complexity of the environments in which it is typically applied. Solving such a problem requires a robust tracking mechanism which in turn depends on an effective feature descriptor and classifier. Moment invariants, as discriminative feature descriptors, have b...
Fingerprint Verification Using Weighted Zernike Moments and Fast Computation Based on Multi-disc ROI
A texture-based method for fingerprint verification is proposed based on weighted Zernike moments. Zernike moment features are calculated from the region of interest (ROI) which consists of several concentric discs, called multi-discs. Zernike moments of multi-disc ROI are weighted according to the regions of discs. In order to reduce the computational complexity of Zernike moments, the fast Ze...
Often in content-based image retrieval, a single image attribute may not have enough discriminative information for retrieval. On the other hand, when multiple features are used, it is hard to determine the suitable weighting factors for various features for optimal retrieval. In this paper, we present an idea of integrated probability function and use it to combine features for Chinese cursive...
In this paper, we present a method for automatic recognition of isolated Marathi handwritten numerals in which Zernike moments and Fourier Descriptors are used as features. After preprocessing the numeral image, Zernike moment and the Fourier Descriptor features of the numeral are extracted. These features are then fed in the k-NN classifier for classification. The proposed method is experiment...
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