Optimized Hand Geometry-Based Biometric Recognition System

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Published: Oct 7, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i11s.8185
Keywords:
Hand geometry, Biometric, Features, Recognition, Identification and Gaussian Mixture

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Sampada Abhijit Dhole
Assistant Professor, Department of Electronics and Telecommunication Engineering, Bharati Vidyapeeth’s College of Engineering for Women, Pune, Maharashtra, India
Jayamala Kumar Patil
Associate Professor, Department of Electronics and Telecommunication Engineering, Bharati Vidyapeeth’s College of Engineering, Kolhapur, Maharashtra, India
S.M. Jagdale
Assistant Professor, Department of Electronics and Telecommunication Engineering, Bharati Vidyapeeth’s College of Engineering for Women, Pune, Maharashtra, India
Dipti Sakhare
Professor, Department of Electronics and Telecommunication Engineering, MIT Academy of Engineering Alandi Pune, Pune, Maharashtra, India
Dankan Gowda V
Department of Electronics and Communication Engineering, BMS Institute of Technology and Management, Bangalore, Karnataka, India

Abstract

In an era characterized by digital interactions and security needs, biometric systems, especially hand geometry-based recognition, offer an advantageous solution. Biometric identification through hand geometry is ideal for low-security applications due to its non-invasive nature and user-friendly features. This research discusses personal identification leveraging hand geometry features, notably without the use of pegs. Such features encompass finger length and width, palm dimensions, deviations, and angles. Image capturing was conducted without pegs. The study contrasts the use of 12 versus 21 hand geometry features. Identification was achieved using the Euclidean distance measure. The outcomes were validated on both a local and a standard database.

Article Details

How to Cite
Dhole, S. A. ., Patil, J. K. ., Jagdale, S., Sakhare, D. ., & Gowda V, D. . (2023). Optimized Hand Geometry-Based Biometric Recognition System. International Journal on Recent and Innovation Trends in Computing and Communication, 11(11s), 547–555. https://doi.org/10.17762/ijritcc.v11i11s.8185
Issue
Vol. 11 No. 11s (2023)
Section
Articles

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