Multimodal Biometric Recognition System Using Face and Finger Vein Biometric Traits with Feature and Decision Level Fusion Techniques

C, Arjun B; Prakash, H. N.

doi:10.7763/ijcte.2021.v13.1300

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2024

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Cited by 2 publications

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Multimodal Biometric Authentication with Two-layer Hybrid Template Security

Choudhary,

Naik

2024

SN COMPUT. SCI.

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Multimodal Biometric Authentication with Two-layer Hybrid Template Security

Choudhary,

Naik

2024

SN COMPUT. SCI.

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Enhancing finger vein recognition systems through local feature aggregation and multiple finger fusion

Tiew,

ONG,

Teng

et al. 2024

Ninth International Workshop on Pattern Recognition

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Finger Vein Recognition system is increasingly used for personal recognition. However, unimodal biometrics systems suffer from several limitations, leading to reduced reliability and effectiveness compared to multimodal biometrics systems. This study implements a multi-instance biometric system by leveraging multiple fingers as the input source to enhance the robustness of the finger vein recognition. The works first employs various preprocessing to improve image quality. These techniques include Watershed Segmentation, Morphological Operations, Histogram Equalization, and resizing. Local Binary Pattern (LBP) is then used to extract the features from each finger vein. This study utilizes two fusion methods, including Feature Fusion and Local Feature Aggregation (LFA) to combine results from multiple finger sources. An experimental setup is implemented to evaluate the performance of both fusion methods. The experimental result indicates that the proposed system using LFA achieves higher performance with the lowest Equal Error Rate (EER) of 0.22% and 0.25% for the UTFVP dataset and SDUMLA-HMT dataset, respectively. This emphasizes the ability of the LFA to enhance the robustness of the finger vein recognition system, contributing to future research.

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Multimodal Biometric Recognition System Using Face and Finger Vein Biometric Traits with Feature and Decision Level Fusion Techniques

Cited by 2 publications

References 6 publications

Multimodal Biometric Authentication with Two-layer Hybrid Template Security

Multimodal Biometric Authentication with Two-layer Hybrid Template Security

Enhancing finger vein recognition systems through local feature aggregation and multiple finger fusion

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