The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
An iris is unique physiological biometric trait compared to other biological traits to authenticate a person. In this paper we propose straight line fusion based iris recognition using Adaptive Histogram Equalization (AHE), Histogram Equalization (HE) and Discrete Wavelet Transform (DWT). The CASIA V.I iris database is considered and horizontal iris template is generated in the pre-processing. The...
Applications using face biometric are ubiquitous in various domains. We propose an efficient method using Discrete Wavelet Transform (DWT), Extended Directional Binary codes (EDBC), three matrix decompositions and Singular Value Decomposition (SVD) for face recognition. The combined effect of Schur, Hessenberg and QR matrix decompositions are utilized with existing algorithm. The discrimination power...
Face Recognition is important Biometric credentials for identification or verification of a person. In this paper, we propose a novel technique of generating compressed unique features of face images which helps in improving matching speed of recognition. The training face database samples are applied to 2D-DWT to obtain LL band features. The LL band features are subjected to normalization to scale...
The gaining popularity of the visible spectrum iris recognition has sparked the interest in adopting it for various access control applications. Along with the popularity of visible spectrum iris recognition comes the threat of identity spoofing, presentation, or direct attack. This paper presents a novel scheme for detecting video presentation attacks in visible spectrum iris recognition system by...
Offline signature verification system is widely used as a behavioral biometric for identifying a person. This behavioral biometric trait is a challenge in designing the system that has to counter intrapersonal and interpersonal variations. In this paper, we propose a novel technique PCVOS: Principal Component Variances based Off-line Signature Verification on two critical parameters viz., the Pixel...
The face recognition is used to authenticate a person in several real time applications. In this paper, we propose Face Recognition based on DWT and DBC (FRDD) for PolyU Near Infra Red Face database. The face image is preprocessed to obtain only face part in an image. The DWT is applied on face part to derive four subbands. The LL subband is segmented into one hundred cells of each 5∗5 matrix. The...
The authentication of a person using bimodal biometric is robust and accurate compared to single biometric traits. In this paper we propose Dual Transformation Bimodal Biometrics Based on Feature Level Fusion (DBFLF). The Fingerprint and Face of each person is considered to identify a person. The fingerprint is preprocessed to obtain Region of Interest (ROI). The DTCWT is applied on ROI of fingerprint...
Biometric identification is more secure compared to the existing traditional ways of identifying a person. In this paper, we propose Palmprint Identification based on Fusion of PCA and DT-CWT Features (PIFPD). The palmprint is preprocessed to obtain Region Of Interest (ROI) to generate features. The features are fused using log multiplication to derive final feature set. The features of test palmprint...
The Fingerprint is widely used biometric to identify and authenticate a person in the society. In this paper we propose Fingerprint Recognition using Inter Ridge Variation (FRIRV) algorithm. The finger print is segmented into 8*8blocks and variance of each block is determined. The threshold value is fixed to remove minimum variance blocks to get Area of Interest (AOI). Discrete Cosine Transform (DCT)...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.