SMART SENSOR BASED TOUCHLESS FINGERPRINT SYSTEM

Author:

Khan Gulam Dastagir1ORCID,Al-Kaabi Ahmed Juma1,Al-Kharusi Husam Ahmed1,Al-Rawahi Mohammed Sulaiman1

Affiliation:

1. College of Engineering, Sultan Qaboos University (SQU)

Abstract

his paper introduces a touchless fingerprint recognition system, offering a hygienic alternative to conventional touch-based systems. The primary objective is to develop and evaluate a comprehensive solution that addresses hygiene-related concerns and mitigates the risks associated with disease transmission, particularly in the context of the ongoing Covid-19 pandemic. The proposed system utilizes a state-of-the-art touchless sensor to capture intricate fingerprint images, subsequently processing, storing, and retrieving them for matching purposes. By eliminating the need for physical contact, the system effectively tackles issues related to inconsistent pressure and prolonged collection times. The touchless fingerprint technology showcased in this system holds great promise for diverse applications that demand secure and hygienic fingerprint recognition. The proposed method overcomes the limitations inherent in touch-based systems, making it well-suited for environments where health and safety considerations are paramount. The integration of this touchless technology not only enhances security but also contributes significantly to public health by reducing the risk of cross-contamination in shared touchpoints. As the world navigates the challenges posed by the pandemic, the adoption of touchless fingerprint recognition systems represents a crucial step toward creating safer and more hygienic environments.

Publisher

Kazakh-British Technical University

Reference23 articles.

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4. Labati R.D., Genovese A., Piuri V., Scotti F. Touchless fingerprint biometrics: A survey on 2d and 3d technologies. J. Internet Technol., 2014, no. 15(3), 328.

5. Song Y., Lee C., Kim J. International Symposium on Intelligent Signal Processing and Communication Systems, A new scheme for touchless fingerprint recognition system, 2004, IEEE, New York, pp. 524–527.

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