Acta Informatica Pragensia 2024, 13(2), 193-212 | DOI: 10.18267/j.aip.2362707

Efficient Contactless Palmprint Recognition System Based on Deep Rule‐Based Classification

Yacine Belhocine ORCID...1, Abdallah Meraoumia ORCID...2, Khediri Abderrazak ORCID...1, Mohammed Saigaa ORCID...1
1 Laboratory of Mathematics, Informatics and Systems, Larbi Tebessi University – Tebessa, Algeria
2 Laboratory of Intelligent and Communicating Systems Engineering, University of Science and Technology – Houari Boumediene, Algeria

In recent years, as technology has advanced and more and more activities have become digitized, cybersecurity has become a top priority for governments around the world. Cybersecurity is essential for protecting computer systems, networks and data from cyberattacks that can have a negative impact on individuals, businesses and governments. Indeed, biometrics is a key means of cybersecurity that can help prevent unauthorized access, identity theft and unauthorized changes to data. This paper presents an innovative contactless palmprint recognition system, integrating two types of features to enhance accuracy and efficiency. Our approach employs two distinct feature sets: handcrafted features, based on the Pyramid Histogram of Oriented Gradients (PHOG) and Local Phase Quantization (LPQ) techniques and deep features extracted through deep learning-based image analysis methods such as DCTNet, DSTNet, PCANet and ICANet. Furthermore, we used a sophisticated Deep Rule-based (DRB) classifier for classification tasks. Experimental results obtained using a typical database demonstrated excellent identification rates, surpassing significantly those reported in similar studies.

Keywords: Cybersecurity; Biometrics; DRB; LPQ; PHOG; DCTNet; DSTNet; PCANet; ICANet; Deep rule-based classifier.

Received: February 14, 2024; Revised: May 8, 2024; Accepted: May 10, 2024; Prepublished online: July 16, 2024; Published: August 4, 2024  Show citation

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Belhocine, Y., Meraoumia, A., Abderrazak, K., & Saigaa, M. (2024). Efficient Contactless Palmprint Recognition System Based on Deep Rule‐Based Classification. Acta Informatica Pragensia, 13(2), 193-212. doi: 10.18267/j.aip.236
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