Biometrics is the word derived from Greek words ―Bio‖ means (life) & ―Metrics‖ means (to measure). Biometrics is the science of measuring human characteristics for the purpose of authenticating or identify ing the identity of an individual. Biometrics System is used for automated recognition of an individual. In Informat ion system in particu lar b iometrics is used as a form of identity access...

In this paper we present a corner detection which makes use of eigenvalues of covariance matrices of different support regions over edge points. Edges are first extracted through the use of Canny edge detection, and then determine corners according to eigenvalues product of covariance matrices of the edge at various regions of support. Experimental results show that the proposed method has more...

This paper describes a fast corner detection algorithm making use of the Laplacian of Gaussian operator. We propose a general corner model and analyze its behavior in scale space. The study shows that the response of the operator has a stable elliptic extremum which always lies inside the corner. Using a multi-scale representation limited to two scales and the sole laplacian of Gaussian operato...

In this paper we worked on the automatic detection of the facial landmarks which includes left eye corners, right eye corners, left eyebrows, right eyebrows, lip corners, nostrils. In this paper, a procedure of automatic facial landmarks detection is presented. It consists of two modules: In first, a morphological opening operation is used to estimate the background. Then create a more uniform ...

In this paper the analysis of gray level corner detection has been carried out. Performances of various cornerness measures are discussed with respect to four performances of robustness: detection, localization, stability and complexity. We have analyzed the interior di€erential features of the image surface of these cornerness measures. This paper presents a new approach called gradient-direct...

Corner extraction is an important task in many computer vision systems. The quality of the corners and the efficiency of the detection method are two very important aspects that can greatly impact the accuracy, robustness and real-time performance of the corresponding corner-based vision system. In this paper we introduce a fast corner detector based on local binary-image regions. We verify the...

This paper describes a new simple and fast method, elaborated and tested by authors, for corner orientation detection. The conventional L-, T-, Yand Xcorner or junctions are important dominant features belonging to object patterns in digital images. A small set of locally defined parameters: position, orientation, scale, phase and curvature can characterize these elementary structures. „Orienta...

A fast two-stage corner detector with noise tolerance is presented in this paper. At the first stage, candidate-corner pixels are selected by a proposed candidate pruning approach. At the second stage, real corners are recognized by the Harris detector among the candidate-corner pixels. In general, corners are considered as the junction of edges. Therefore, edge pixels with a high gradient in m...

According to the rotational invariance of Harris corner detector and the robustness of Sift descriptor. An improved Harris-Sift corner descriptor was proposed. At first, the algorithm given multi-scale strategy to Harris corner, improved corner counting method and removed redundant points at the same time, then, the corner was directly applied to low-pass Gaussian filter image. Based on the his...

Most conventional derivative-based corner detectors have shortcomings such as missing junctions, poor localization, sensitivity to noise and high computational cost. This paper presents a new, simple and effective low level processing method to detect corners. In this corner detection algorithm, two oriented cross operators called crosses as oriented pair (COP) are used, which provide useful in...