Face Recognition Algorithm Based on Orientation Histogram of Hough Peaks
نویسنده
چکیده
In this paper we propose a novel face recognition algorithm based on orientation histogram of Hough Transform Peaks. The novelty of the approach lies in utilizing Hough Transform peaks for determining the orientation angles and computing the histogram from it. For extraction of feature vectors first the images are divided into non overlapping blocks of equal size. Then for each of the blocks the orientation histograms are computed. The obtained histograms are combined to form the final feature vector set. Classification is done using k nearest neighbor classifier. The algorithm has been tested on the ORL database, Yale B Database & the Essex Grimace Database.97% Recognition rates have been obtained for ORL database, 100% for Yale B and 100% for Essex Grimace database
منابع مشابه
Projective Invariance and Orientation Consensus for Extracting Boundary Con gurations
This work focusses on boundary detection of target objects by extracting conngurations of straight lines. Hough transformation is used as basic voting technique for extracting the image lines. To nd the appropriate peaks in the bin array of the Hough transform and thus estimating the line parameters a three-step procedure is involved. First, the Hough transform is constrained appropriately by t...
متن کاملFace Recognition using Hough Peaks extracted from the significant blocks of the Gradient Image
This paper proposes a new technique for automatic face recognition using integrated peaks of the Hough transformed significant blocks of the binary gradient image. In this approach firstly the gradient of an image is calculated and a threshold is set to obtain a binary gradient image, which is less sensitive to noise and illumination changes. Secondly, significant blocks are extracted from the ...
متن کاملHuman Face Detection and Segmentation using Eigenvalues of Covariance Matrix, Hough Transform and Raster Scan Algorithms
In this paper we propose a novel method for human face segmentation using the elliptical structure of the human head. It makes use of the information present in the edge map of the image. In this approach we use the fact that the eigenvalues of covariance matrix represent the elliptical structure. The large and small eigenvalues of covariance matrix are associated with major and minor axial len...
متن کاملEfficient Biometric Iris Recognition Using Hough Transform With Secret Key
The demand for an accurate biometric system that provides reliable identification and verification of an individual has increased over the years. A biometric system that provides reliable and accurate identification of an individual is an iris recognition system. Iris recognition systems capture an image of an individual's eye; the iris in the image is then segmented and normalized for feature ...
متن کاملLocalized Hough Transform for Human Detection
This paper presents a method that uses Hough transform in the localized area for robust visual object recognition. We focus on the human detection problem at different resolutions. The proposed method takes into account orientation information along with spatial information, which is ignored by some dense image descriptors such as the histogram of oriented gradients (HOG). With our method, we c...
متن کامل