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Personal identification based on skin texture features from the forearm and multi-modal imaging
F Bianconi1,2, E Chirikhina3,4, F Smeraldi2
1Department of Engineering, Università degli Studi di Perugia, 06125 Perugia, Italy.
Summary
Forearm skin texture is a highly accurate biometric for personal identification. This method offers advantages over other body parts, achieving nearly 96% recognition accuracy.
Area of Science:
- Biometrics
- Forensic Science
- Human-Computer Interaction
Background:
- The forearm is an accessible body region for biometric data acquisition.
- It is less susceptible to environmental wear and tear compared to fingertips.
- Skin texture offers unique patterns for individual identification.
Purpose of the Study:
- To evaluate the efficacy of inner forearm skin texture features for personal identification.
- To compare the discriminatory power of forearm skin texture against other body regions.
Main Methods:
- Extraction and fusion of skin texture features using optical and capacitive imaging devices.
- Acquisition of skin texture images from 43 subjects across the back of the hand, forearm, and palm.
- Testing sensor performance individually and in combination.
Main Results:
- Forearm skin texture features demonstrated high effectiveness in distinguishing individuals.
- Overall recognition accuracy approached 96% using forearm data.
- Forearm skin texture yielded superior accuracy compared to the palm and back of the hand.
Conclusions:
- Forearm skin texture possesses highly individual-specific characteristics, making it suitable for biometric identification.
- The forearm is a promising area for developing robust personal identification systems.
- Forearm-based biometrics show potential for enhanced security and authentication applications.
