International Journal of Biometrics (3 papers in press)
- A Secure Palmprint Authentication System using Chaotic Mixing and Watermarking
by Munaga V N K Prasad, Ilaiah Kavati
Abstract: In recent years, there has been a significant increase in the use of biometrics for user authentication. The wide spread use of biometrics in real life applications for user authentication raised the security and privacy concerns of the biometric data. In this paper, a biometric image protection scheme exploiting the properties of chaotic mixing and watermarking technique is proposed. We also proposed an efficient technique for biometric template protection using a random vector. A detailed discussion on the security of the proposed techniques are given. The effectiveness of the proposed method is investigated with application to palmprint authentication. The experimental results evaluated on PolyU and IITD database shows that the proposed system achieves better recognition accuracy and lower error rates while providing protection to the biometric data.
Keywords: Image security; Template security; Palmprint; Chaotic mixing, Watermarking; Random vector
- Integration Framework for Assembling Components of a Face Recognition System
by Monpraon Sukroongreung, Pratit Santiprabhob
Abstract: This paper outlines a framework that has been developed to assist in integrating components of a given face recognition system. By applying this framework, performance and restrictions of each component can be explicitly observed. Recognition performance of the resulting face recognition system can be clearly compared with components are replaced by other alternatives. The contribution of our work is a generalized framework for components integration of a face recognition system that facilitates (i) examination of the effects of varying techniques and components to the recognition performance; and (ii) determination of suitable techniques, components and system configurations as per a given problem context. We have applied our framework to assemble different alternatives of a face recognitions system. Such applications reveal the effects when different components are included into a face recognition system and have shown insights into the relationship between dataset quality, techniques selected and recognition performance. This paper also outlines how the proposed framework can be applied to other biometric recognition systems.
Keywords: integration frameworks, component selections, biometrics
- ENHANCING THE PERFORMANCE OF TEXTURE BASED FACE RECOGNITION THROUGH MULTIRESOLUTION TECHNIQUES
by Meena Nandhini, Suruli Andadvar, Reenarose R
Abstract: Automatic face recognition is an emerging active research area spanning several disciplines such as image processing, computer vision and pattern recognition. Face recognition is a challenging problem because of diversity in faces and variations caused by expressions, illuminations, pose, occlusion, aging and so on. In this paper, multiresolution techniques are combined with texture features to mitigate the effect of facial variations. Multiresolution techniques investigated in this paper are Discrete Wavelet Transform (DWT), Ridgelet, Curvelet and Contourlet. Texture features are extracted from these transforms by using Local Binary Pattern (LBP), Local Texture Pattern (LTP), Local Derivative Pattern (LDP), Local Tetra Patterns (LTrPs) and Local Derivative Ternary Pattern (LDTP). The proposed method is tested on JAFFE, ORL, Yale, Essex and Georgia tech databases containing more than 4000 face images. From the results, it is observed that, the combined approach of multiresolution techniques with texture features enhances the face recognition rate. In particular, Contourlet transform with LDTP perform better than the other techniques considered for investigation.
Keywords: Biometrics; face recognition; texture analysis; texture features; multiresolution analysis; G statistics; K Nearest Neighbor; KNN.