Performance Evaluation of a Biometric System Based on Acoustic Images

Abstract

An acoustic electronic scanning array for acquiring images from a person using a biometric application is developed. Based on pulse-echo techniques, multifrequency acoustic images are obtained for a set of positions of a person (front, front with arms outstretched, back and side). Two Uniform Linear Arrays (ULA) with 15 λ/2-equispaced sensors have been employed, using different spatial apertures in order to reduce sidelobe levels. Working frequencies have been designed on the basis of the main lobe width, the grating lobe levels and the frequency responses of people and sensors. For a case-study with 10 people, the acoustic profiles, formed by all images acquired, are evaluated and compared in a mean square error sense. Finally, system performance, using False Match Rate (FMR)/False Non-Match Rate (FNMR) parameters and the Receiver Operating Characteristic (ROC) curve, is evaluated. On the basis of the obtained results, this system could be used for biometric applications.

Design and Evaluation of a Scalable and Reconfigurable Multi-Platform System for Acoustic Imaging

“…The 2.125 cm spacing corresponds to λ/2 for the 8 kHz frequency. This spacing allows a good resolution for low frequencies, while avoiding grating lobes for high frequencies in the angular exploration zone of interest [10]. …”

“…The authors of this paper have experience in the design [6] and development of acoustic imaging systems, based in acoustic arrays, used in many different fields, such as detection and tracking systems [7,8], Ambient Assisted Living [9], or biometric identification systems [10,11,12]. The arrays used were ULA (Uniform Linear Array), formed by acoustic sensors distributed uniformly along a line.…”

Using a Planar Array of MEMS Microphones to Obtain Acoustic Images of a Fan Matrix

“…The 2.125 cm spacing corresponds to /2 for the 8 kHz frequency. This spacing allows a good resolution for low frequencies, while avoiding grating lobes for high frequencies in the angular exploration zone of interest [8]. [47] is the base unit for this system.…”

“…The authors of this paper have experience in the design [4] and development of acoustic arrays used in many different fields, such as detection and tracking systems [5,6], ambient assisted living [7], or biometric identification systems [8][9][10]. The arrays used were ULA (Uniform Linear Array), formed by acoustic sensors distributed uniformly along a line.…”

Fusion Based Multimodal Authentication in Biometrics Using Context-Sensitive Exponent Associative Memory Model : A Novel Approach

“…In the evaluation of verification performance, we computed the Mean Square Error (MSE) [22] based on the error which is the difference between training and testing memories M and M T respectively. The error is computed as: ߦ = ‫ܯ‬ − ‫ܯ‬ ் , then the MSE will be computed with the following equation.…”