This paper describes a fast and robust Gabor feature based approach for face recognition. The most discriminative Gabor features are selected by the AdaBoost procedure, which are then subjected to the Generalized Discriminant Analysis (GDA) process for further class separability enhancement. Compared with the huge number of features used by typical classification algorithms using Gabor fiters, ...

This paper describes an application of the AdaBoost algorithm for selecting Gabor features for classification. Gabor wavelets are powerful image descriptors but they often result in very high dimensional feature vectors, which rend them impractical for real applications. We have trained a classifier using the AdaBoost algorithm with a set of Gabor features extracted from images. Compared with t...

Face location under the environment of illumination chagne is a serious problem, in order to reduce illumination effect, in this paper, we propose a facial feature location method based on improved active shape model (IASM) and Gabor filter to reduce the intensity contrast and to enhance edge information. First, face images are preprocessed by the proposed illumination normalization method usin...

We present in this paper a biometric system of face detection and recognition in color images. The face detection technique is based on skin color information and fuzzy classification. A new algorithm is proposed in order to detect automatically face features (eyes, mouth and nose) and extract their correspondent geometrical points. These fiducial points are described by sets of wavelet compone...

This paper presents the experimental evaluation of Gabor filter and Zernike moments for extracting the face features. The dimensionality of the input image is reduced for the overloading process of Gabor filters. 40 sub-images were obtained from the original images by using the Gabor filters in 5 scales and 8 orientations. From each sub-image, four Zernike features were extracted. Thus, the tot...

Eyes play important roles in emotion and paralinguistic communications. Detection of eye state is necessaryfor applications such as driver awareness systems. In this paper, we develop an automatic system to detect eye-state action units (AU) based on Facial Action Coding System (FACS) by use of Gabor wavelets in a nearly frontal-viewed image sequence. Three eye-state AU (AU 41, AU42, and AU43) ...

We consider the natural generating system for a cyclic subspace of a Hilbert space generated by a dual integrable unitary representation of a countable abelian group. We prove, under mild hypothesis, that whenever the generating system is a quasi-greedy basis it must also be an unconditional Riesz basis. A number of applications to Gabor systems and to general Vilenkin systems are considered. I...

This paper presents an offline word-recognition system based on structural information in the unconstrained written word. Oriented features in the word are extracted with the Gabor filters. We estimate the Gabor filter parameters from the grayscale images. A two-dimensional fuzzy word classification system is developed where the spatial location and shape of the membership functions are derived...

Handwritten character recognition is the ability of a Computer to receive and interpret handwritten input. Computers may find difficultly in deciphering many kinds of printed characters which is of different fonts and styles or handwritten characters. This paper focuses on the recognition of handwritten Malayalam characters. The proposed system consists of image acquisition, preprocessing, segm...

We propose a Gabor-Alter-based method for fingerprint recognition in this paper. The method makes use of Gabor filtering technologies and need only to do the core point detection before the feature extraction process without any other pre-processing steps such as smoothing, binarization, thinning, and minutiae detection. The proposed Gabor-filter-based features play a central role in the proces...