A Fingerprint Matching Algorithm Using the Combination of Edge Features and Convolution Neural Networks

Article Computer Science, Artificial Intelligence

Efficient palmprint biometric identification systems using deep learning and feature selection methods

Selma Trabelsi et al.

Summary: This paper proposes an efficient unimodal and multimodal biometric system based on deep learning and feature selection, achieving high recognition rates on multispectral and contactless palmprint images.

NEURAL COMPUTING & APPLICATIONS (2022)

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Article Computer Science, Information Systems

FinPrivacy: A Privacy-preserving Mechanism for Fingerprint Identification

Tao Wang et al.

Summary: This study introduces a privacy-preserving mechanism named FinPrivacy, which employs low-rank matrix approximation and Laplace noise injection to achieve privacy protection in fingerprint recognition.

ACM TRANSACTIONS ON INTERNET TECHNOLOGY (2021)

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Article Computer Science, Hardware & Architecture

An intelligent system for automatic fingerprint identification using feature fusion by Gabor filter and deep learning

Nur-A-Alam et al.

Summary: This paper introduces an intelligent computational approach to automatically authenticate fingerprint for personal identification and verification. The feature vector is formed using combined features obtained from Gabor filtering technique and deep learning technique such as Convolutional Neural Network, and PCA is performed to reduce overfitting problems and improve classification accuracy. The proposed approach showed better performance in accuracy compared to recent classification techniques, as supported by confusion matrix results.

COMPUTERS & ELECTRICAL ENGINEERING (2021)

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Article Multidisciplinary Sciences

Fingerprint Classification Based on Deep Learning Approaches: Experimental Findings and Comparisons

Carmelo Militello et al.

Summary: Biometric classification is crucial in fingerprint characterization, and using Convolutional Neural Networks (CNNs) in deep learning for multi-class fingerprint classification has shown the best performance. The study aims to find the most efficient and precise model through comparisons of various CNN architectures on different fingerprint databases.

SYMMETRY-BASEL (2021)

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Article Computer Science, Information Systems

Recreating Fingerprint Images by Convolutional Neural Network Autoencoder Architecture

Sergio Saponara et al.

Summary: This study proposed the use of a convolutional neural network autoencoder to reconstruct fingerprint images and demonstrated its effectiveness and superiority through four different fingerprint image datasets.

IEEE ACCESS (2021)

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Article Robotics