Performance evaluation of a biometric system based on acoustic images

Area of Science:

• Biomedical Engineering
• Acoustic Imaging
• Biometrics

Background:

• Biometric systems require robust and accurate identification methods.
• Acoustic imaging offers a non-invasive approach for data acquisition.
• Existing biometric technologies face challenges in security and accuracy.

Purpose of the Study:

• To develop and evaluate an acoustic electronic scanning array for biometric applications.
• To acquire multifrequency acoustic images from various body positions.
• To assess the system's performance using established biometric metrics.

Main Methods:

• Utilized pulse-echo techniques with two Uniform Linear Arrays (ULA).
• Employed multifrequency imaging across different spatial apertures and sensor configurations.
• Designed working frequencies based on lobe width, grating lobe levels, and frequency responses.
• Evaluated acoustic profiles from 10 individuals using mean square error.

Main Results:

• Successfully acquired multifrequency acoustic images from multiple body positions.
• Demonstrated the ability to reduce sidelobe levels through spatial aperture control.
• System performance evaluated using False Match Rate (FMR), False Non-Match Rate (FNMR), and Receiver Operating Characteristic (ROC) curves.

Conclusions:

• The developed acoustic scanning array system is effective for biometric data acquisition.
• The system shows potential for reliable personal identification in biometric applications.
• Further validation may enhance its integration into security systems.