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Morphed face images are artificially generated images, which blend the facial images of two or more different data subjects into one. The resulting morphed image resembles the constituent faces, both in visual and feature representation. If a morphed image is enroled as a probe in a biometric system, the data subjects contributing to the morphed image will be verified against the enroled probe. As...
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...
Iris Biometric is a unique physiological noninvasive trait of human beings that remains stable over a person's life. In this paper, we propose an Iris Recognition using Hybrid Domain Features (IRHDF) as Dual Tree Complex Wavelet Transform (DTCWT) and Over Lapping Local Binary Pattern (OLBP). An eye is preprocessed to extract the complex wavelet features to obtain the Region of Interest (ROI) area...
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 real time biometric systems are used to authenticate persons for various applications. In this paper, we propose an efficient VLSI architecture for fingerprint recognition using O2D-DWT architecture and modified CORDIC-FFT. The O2D-DWT architecture is designed using only adders and shifters for high speed operation and is applied on fingerprint image to generate four sub-bands. The optimized Fast...
The Palmprint is an efficient physiological biometric trait to identify a person. In this paper we propose Palmprint Identification using Log Transformation of Transform Domain Features. The Region of Interest (ROI) of palmprint image is extracted using preprocessing. The KWT and DWT are applied on preprocessed image to generate features. The KWT and DWT features of test image and database images...
Hand written signature is complex behavioral biometric trait and is widely accepted for personal and document authentication. In this paper we propose Off-line Signature Identification Based on Discrete Wavelet Transform (DWT) and Spatial Domain Features (OSIDS) method. The method is tested using genuine and skilled forgery signatures. The signature is preprocessed using edge detection, filtering...
The Fingerprint is used to authenticate a person for multiple applications. In this paper, we propose Fingerprint Verification Based on Dual Transformation (FVDT). The Fingerprint image size of 300∗480 is segmented into four cells of each size 150∗240. The DCT is applied on each cell to convert from spatial domain to frequency domain. One level DWT is applied on DCT coefficients to derive four sub...
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 signature verification is the behavioral parameter of biometrics and is used to authenticate a person. A typical signature verification system generally consists of four components: data acquisition, preprocessing, feature extraction and verification. In this paper, Biometric Security System Based on Signature Verification Using Neural Networks (BSSV) is presented. The global and grid features...
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)...
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