A Novel Approach for an Interoperable Biometric Verification

Abstract

<span style="font-family: 'Times New Roman','serif'; font-size: 9pt; mso-bidi-font-size: 10.0pt; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: DE; mso-bidi-language: AR-SA;" lang="EN-US">Increasingly, safety is present in everyday life, at work, at home, in recreational environments, and in all places where there is a flow of people who share a common space. Using biometric fingerprint technique for identity verification has become a primordial due to the Reduced costs of implementation, maturity of this technology in the market and the ease of use. Many implementations exist using this technique , however, these systems are hard coupled with the environment in which they were developed and the hardware used to capture biometric data. Consequently, the interoperability issue is hard present in case of changing the environment or using new fingerprint reader. In this paper, we propose a new architecture to solve this problem by dividing the main biometric application to layers based on a flexible communication between components and supporting heterogeneous platforms and biometric readers.</span>

Multimodal access control system combining RFID, fingerprint and facial recognition

“…The other cases represent whether the student is hardly accepted if the matching score is greater than 6000 or refused if the matching score is under 4500. Effectively this threshold intervals could be adjusted depending on the incoming experimentations and more precisely, based on a midleware approach which will allow to have synchronized and more precise measurements as mentioned in [26].…”

Multi-Layered Multimodal Biometric Authentication for Smartphone Devices

“…The improvement over existing biometric methods can be achieved if biometric approach is layered [14] or fusion of different biometric methods is created [15][16][17], since face, voice or fingerprint are prone to individual duplication and that each one could be intolerant to respective changes due to aging, mood level or physical condition. The authors in [15] present supervised learning-based fusion of different biometric techniques to improve performance of overall biometric authentication.…”