Dr. Ali Mohammed Sahan IT Dept., Technical College of Management, Middle Technical University, Baghdad, Iraq AbstractFace recognition process in human perception utilizes two kinds of features. The first are global features used to describe the whole face image, while the second are local features used to describe finer details of the face. The combined face recognition methods stimulate the te...

We have previously used Zernike moments, calculated from strokes, to recognize printed digits. We attempt to apply this system to reading digits in the White Pages.

This paper examines application of various feature domains for recognition of human face images to introduce an efficient feature extraction method. The proposed feature extraction method comprised of two steps. In the first step, a human face localization technique with defining a new parameter to eliminate the effect of irrelevant data is applied to the facial images. In the next step three d...

In this Paper we have used moment based Statistical methods for Feature extraction like Zernike, Pseudo-Zernike methods. Handwritten Gurmukhi isolated characters are used for feature extraction. Our database consists of 75-115 samples of each of 40 characters of Gurmukhi script collected from different writers. These samples are preprocessed, normalized and scaled to 48*48 sizes. Feature extrac...

moment descriptors are commonly used in applications such as image classification, pattern recognition and identification. A radial-polar representation of image coordinate space is particularly useful in the above applications, since it facilitates the derivation of rotation invariants of any arbitrary order. Zernike moments and radial-Tchebichef moments fall into the category of moments that ...

The capability to exploit multiple sources of information is of fundamental importance in a battlefield scenario. Information obtained from different sources, and separated in space and time, provides the opportunity to exploit diversities to mitigate uncertainty. In this study, the authors address the problem of automatic target recognition (ATR) from synthetic aperture radar platforms. The au...

A neural network based face recognition system is presented in this paper. The system consists of two main procedures. The first one is face features extraction using Pseudo Zernike Moments (PZM) and the second one is face classification using Radial Basis Function (RBF) neural network. In this paper, some new results on face recognition are presented. Simulation results indicate that PZM with ...

A new approach for fingerprint verification, based on wavelets and pseudo Zernike moments (PZMs), is discussed. PZMs are robust to noisy images, invariant to rotation and have a good image reconstruction capability [4]. PZMs have been used for global analysis and so they are used to extract global features (the shape of the fingerprint image). Wavelets are good at local analysis and so they hel...