Multimodal biometric crypto system for human authentication using ear and palm print

Kandasamy, Mariyappan

doi:10.1007/s10044-022-01058-3

Pattern Anal Applic

2022

DOI: 10.1007/s10044-022-01058-3

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Multimodal biometric crypto system for human authentication using ear and palm print

Mariyappan Kandasamy

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2023

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Cited by 2 publications

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Performance Optimization of Feature Extraction for Palm and Wrist in Multimodal Biometrics: A Systematic Literature Review

Deepika¹,

Punj²,

Kumari³

et al. 2023

Int. J. Patt. Recogn. Artif. Intell.

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This paper presents a systematic literature review on optimizing feature extraction for palm and wrist multimodal biometrics. Identifying informative features across different modalities can be computationally expensive and time-consuming in such complex systems. Optimization techniques can streamline this process, making it more efficient thereby improving accuracy and reliability. The paper frames four research questions on input traits, approaches for feature extraction, classification approaches, and performance metrics of image data. The search query is generated based on the research questions that help retrieve the information on the above parameters. The focus of this paper is to provide the comprehensive and exhaustive gestalt of the appropriate input traits for image data from the information retrieved as well as optimal feature extraction and selection. However, the paper also intends to highlight the various classification approaches taken as well as the performance indicators against those classifiers. Further, the paper aims to analyze the effectiveness of various filtering techniques in eliminating image noise and improving overall system performance using MATLAB 2018. The paper concludes that a combination of palm and wrist biometrics could be a good input-trait combination. This work is novel as it covers multi-faceted processing, addressing various aspects of optimizing feature extraction and selection for palm and wrist multimodal biometrics.

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Performance Optimization of Feature Extraction for Palm and Wrist in Multimodal Biometrics: A Systematic Literature Review

Deepika¹,

Punj²,

Kumari³

et al. 2023

Int. J. Patt. Recogn. Artif. Intell.

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A Dual Multimodal Biometric Authentication System Based on WOA-ANN and SSA-DBN Techniques

Singh

Tiwari

2023

Sci

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Identity management describes a problem by providing the authorized owners with safe and simple access to information and solutions for specific identification processes. The shortcomings of the unimodal systems have been addressed by the introduction of multimodal biometric systems. The use of multimodal systems has increased the biometric system’s overall recognition rate. A new degree of fusion, known as an intelligent Dual Multimodal Biometric Authentication Scheme, is established in this study. In the proposed work, two multimodal biometric systems are developed by combining three unimodal biometric systems. ECG, sclera, and fingerprint are the unimodal systems selected for this work. The sequential model biometric system is developed using a decision-level fusion based on WOA-ANN. The parallel model biometric system is developed using a score-level fusion based on SSA-DBN. The biometric authentication performs preprocessing, feature extraction, matching, and scoring for each unimodal system. On each biometric attribute, matching scores and individual accuracy are cyphered independently. A matcher performance-based fusion procedure is demonstrated for the three biometric qualities because the matchers on these three traits produce varying values. The two-level fusion technique (score and feature) is implemented separately, and their results with the current scheme are compared to exhibit the optimum model. The suggested plan makes use of the highest TPR, FPR, and accuracy rates.

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Multimodal biometric crypto system for human authentication using ear and palm print

Cited by 2 publications

References 15 publications

Performance Optimization of Feature Extraction for Palm and Wrist in Multimodal Biometrics: A Systematic Literature Review

Performance Optimization of Feature Extraction for Palm and Wrist in Multimodal Biometrics: A Systematic Literature Review

A Dual Multimodal Biometric Authentication System Based on WOA-ANN and SSA-DBN Techniques

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