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Palmprint recognition system using VR-LBP and KAZE features for better recognition accuracy A. Khalid, Noor Aldeen; Imran Ahmad, Muhammad; Shie Chow, Tan; H. Mandeel, Thulfiqar; Majid Mohammed, Ibrahim; Kadhim Alsaeedi, Mokhalad Abdulameer
Bulletin of Electrical Engineering and Informatics Vol 13, No 2: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i2.4739

Abstract

The palmprint recognition system has gained significant attention in security and law enforcement due to its unique features, such as principle lines, ridges, and wrinkles. However, many existing methods for extracting these features have limited accuracy, especially when the image illumination varies or the size of the processed pixels increases. Previous studies have shown that the local binary patterns (LBP) algorithm is effective for palmprint recognition due to the rich texture characteristics of a palmprint. In this paper, we propose a new technique for a robust contact-based palmprint identification system using vertical-LBP and KAZE feature detection. Our technique aims to improve recognition accuracy by using KAZE, which is a nonlinear diffusion approach that extracts nonlinear features from the evolution of the illuminance of an image. We also utilize principal component analysis (PCA) to reduce the dimensionality of the generated descriptor vector elements. The proposed method was tested on the PolyU database and achieved recognition accuracy of 99.7%.
Enhancing the Hill Cipher with a Three-Pass Protocol Approach Siahaan, Andysah Putera Utama; Binti Saari, Erni Marlina; Hassan, Moustafa Hussein Ali; A. Khalid, Noor Aldeen; Pane, Muhammad Akbar Syahbana
Proceedings of The International Conference on Computer Science, Engineering, Social Science, and Multi-Disciplinary Studies Vol. 1 (2025)
Publisher : CV Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/cessmuds.v1.5

Abstract

This paper presents the design and implementation of a cryptographic scheme that combines the Hill Cipher algorithm with the Three-Pass Protocol (TPP) using mod-256 arithmetic. The objective is to provide a secure communication mechanism without direct key exchange while adapting a classical cipher to modern digital contexts. The system employs a 2×2 key matrix where plaintext characters are mapped to their ASCII values, grouped into vectors, and transformed through matrix multiplication followed by modulo reduction. The TPP structure allows both sender and receiver to apply their private keys independently, producing layered ciphertexts before the final recovery of the plaintext. A prototype application was developed using Microsoft Visual Studio 2010 (Visual Basic) to validate the approach. The program includes input fields for plaintext, ciphertext at each stage, key matrices, and a log box that records the detailed matrix operations for transparency. Experimental results demonstrate that the original plaintext can be accurately restored after multiple encryption and decryption phases, while the intermediate ciphertexts remain random and unintelligible. The findings confirm that integrating Hill Cipher with the Three-Pass Protocol strengthens confidentiality and eliminates the need for key distribution. Beyond its security benefits, the prototype also serves as an educational tool, helping students and practitioners understand both matrix-based encryption and keyless secure communication protocols.
Develop a new Student Attendance system Using QR Code for Smartphone A. Khalid, Noor Aldeen
Proceedings of The International Conference on Computer Science, Engineering, Social Science, and Multi-Disciplinary Studies Vol. 1 (2025)
Publisher : CV Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/cessmuds.v1.16

Abstract

The student attendance system serves as a means to assess student engagement in a classroom setting. As universities transition from online to in-person lectures, they grapple with challenges associated with managing large student populations, notably the cumbersome task of recording attendance for performance evaluation. This process not only consumes valuable lecture time but may also be susceptible to errors and classroom disturbances. In response to these challenges, this paper introduces an attendance system using QR codes on smartphones based on PC. Each student is assigned a unique QR code, enabling them to mark their attendance using their phones, eliminating the need for an internet connection. Implementing this system offers the dual advantage of time efficiency in attendance tracking and the integration of technology to replace the conventional method of verbally calling out each student's name or asking them to write. The design of this proposed system leverages technologies such as OpenCV through Python, along Visual C++ Redistributable Packages for Visual Studio.