International Journal on Science and Technology

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Hybrid Approach for Attendance ERP Using Biometric and QR Code Verification

Author(s) Tanuj Tongse, Pranay Solanki, Ishali Deshmukh, Ashvi Deshmukh, Dr. Pankaj Singh Sisodiya
Country India
Abstract Attendance management is an integral component of academic institutions and organizations, serving as a foundation for discipline, evaluation, and decision-making. Traditional methods, including manual roll calls or paper registers, are not only time-consuming but also prone to inefficiencies such as errors, proxy attendance, and delays in record updating. As institutions grow larger and digitization becomes essential, the need for an automated, secure, and reliable attendance monitoring system has become more critical.

While numerous systems exist that employ biometric authentication or QR code verification individually, they often fail to provide a comprehensive solution. Biometric systems require expensive hardware and may face accuracy issues under varying conditions such as lighting or image clarity, whereas QR-based systems, though cost-effective, are vulnerable to misuse and proxy attempts. There is limited research that combines multiple authentication mechanisms into a single attendance system, ensuring enhanced accuracy and security.

The primary objective of this research is to design and implement a Face Recognition and QR Code Based Attendance System that integrates the strengths of both techniques. The system aims to provide a dual-layer verification mechanism, thereby reducing the probability of proxy attendance, minimizing human error, and increasing operational efficiency. By merging computer vision with quick response (QR) technology, the proposed approach ensures robust verification, user convenience, and scalable integration into institutional frameworks.

The methodology of the system development is based on the Agile software development model, enabling iterative progress and continuous improvement at each stage. The implementation employs Java Swing for building a userfriendly graphical interface, OpenCV for real-time face detection and recognition, the ZXing library for QR code generation and scanning, and a MySQL database for storing and managing attendance records. The workflow involves four major phases: student registration (with photograph and unique QR code), attendance marking (via face recognition and QR scan), verification (dual-authentication process), and notification/record maintenance.

The experimental evaluation of the system reveals that it provides a significant improvement in accuracy, efficiency, and security compared to conventional attendance methods. The dual verification mechanism effectively prevents proxy attendance, while the use of MySQL ensures reliable storage and retrieval of records. The combination of OpenCV and ZXing libraries results in fast and accurate processing, even in real-time classroom or organizational scenarios.
Field Engineering
Published In Volume 17, Issue 1, January-March 2026
Published On 2026-03-12
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