An Integrated Formulation of Zernike Representation in Character Images
نویسندگان
چکیده
Many studies have been done on improving Geometric Moment Invariants proposed by Hu since 1962 for pattern recognition. However, many researchers have found that there are some drawbacks with this geometric moment. Hence, this paper presents an integrated formulation of United Moment and Aspect Moment into Zernike Moment Invariant to seek the invarianceness of the solutions. The proposed method will be validated mathematically and experimentally. The validity invarianceness of the proposed method is measured by conducting the intra-class and inter-class analysis. The results of the proposed method are promising and feasible in identifying the similarity and differences of the images accordingly.
منابع مشابه
Pseudo Zernike Moment-based Multi-frame Super Resolution
The goal of multi-frame Super Resolution (SR) is to fuse multiple Low Resolution (LR) images to produce one High Resolution (HR) image. The major challenge of classic SR approaches is accurate motion estimation between the frames. To handle this challenge, fuzzy motion estimation method has been proposed that replaces value of each pixel using the weighted averaging all its neighboring pixels i...
متن کاملUnited Zernike Invariants for Character Images
Feature extraction is one of the major components in traditional pattern recognition. There are many methods for extracting the features, either structural approach or global approach. In this paper, we present integrated formulation of Zernike Moments and United Moment Invariant for extracting the character images accordingly. The extraction values are validated by measuring the Inter-class an...
متن کاملRetrieval Based On An Integrated Probability Function ? Irwin
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...
متن کاملAn extended feature set for blind image steganalysis in contourlet domain
The aim of image steganalysis is to detect the presence of hidden messages in stego images. We propose a blind image steganalysis method in Contourlet domain and then show that the embedding process changes statistics of Contourlet coefficients. The suspicious image is transformed into Contourlet space, and then the statistics of Contourlet subbands coefficients are extracted as features. We us...
متن کاملZernike Moment Feature Extraction for Handwritten Devanagari (Marathi) Compound Character Recognition
Compound character recognition of Devanagari script is one of the challenging tasks since the characters are complex in structure and can be modified by writing combination of two or more characters. These compound characters occurs 12 to 15% in the Devanagari Script. The moment based techniques are being successfully applied to several image processing problems and represents a fundamental too...
متن کامل