In order to improve the recognition rate, this document proposes an automatic system to recognize isolated printed Tifinagh characters by using a fusion of 3 classifiers and a combination of some features extraction methods. The Legendre moments, Zernike moments and Hu moments are used as descriptors in the features extraction phase due to their invariance to translation, rotation and scaling c...

Despite the fact that images are a primary source of information, the rapid growing of tools that used to amendment images makes the reliability of the digital images in risk. Copy-Move forgery is one important method to forge an image; where part of the image is copied and pasted in another part of the same image. Regarding the related literature in this topic, many methods were developed to d...

Target discrimination is the key step of automatic target detection (ATR) in synthetic aperture radar (SAR) images. In this paper, a new algorithm for target discrimination in high resolution SAR image is presented by utilizing Zernike moments as descriptors of shape and intensity characteristics which have linear transformation invariance properties. The input regions of interest (ROIs) are se...

The medical imaging is the fastest growing subject in the field of clinical medicine. It runs through the whole process of clinical medicine. This paper chooses the edge feature of brain CT image. The classical operator of pixel level edge feature extractions were compared with the Zernike moments sub-pixel level edge feature extraction. And then the edge detection of improved Zernike moments f...

Shape representation provides fundamental features for many applications in computer vision and it is known to be important cues for human vision. This paper presents an experimental study on recognition of mice behavior. We investigate the performance of the four shape recognition methods, namely Chain-Code, Curvature, Fourier descriptors and Zernike moments. These methods are applied to a rea...

In this paper, a neural network (NN) based approach for translation, scale, and rotation invariant recognition of objects is presented. The utilized network is a Multi-Layer Perceptron (MLP) classifier with one hidden layer. The back-propagation learning is used for its training. The image is represented by rotation invariant features which are the magnitudes of the Zernike moments of the image...

Today, the number of registered trademarks is huge and is increasing rapidly. Thus, the job of identifying infringement of trademarks by solely using manual inspection is tiring, laborious and time consuming. To cope with the tremendous amount of available registered trademarks and to protect the infringement of trademarks, a new automatic and efficient trademark retrieval system is necessary a...