Editing Fingerprint-Based Car Access and Starter System

Title: Fingerprint-Based Car Access and Starter System

Research Question: Can a fingerprint-based system be developed for car access and starting that is both safe and secure, and easy to implement?

Methodology: The researchers used LabVIEW software and Authentec's EntrèPad AES 3500 fingerprint sensor. They developed a system architecture with four subunits for image processing, transformation, and recognition. These subunits used morphology testing, 3D image transformation, frequency domain transformation (wavelet analysis), and multidimensional object transformation. The system also integrated a database for storing and analyzing data.

Results: The researchers achieved low False Rejection Rate (FRR) and False Acceptance Rate (FAR) values, which demonstrated the system's safety and security. The FRR was 1/100, and the FAR was 1/100,000, which is considered good results for this type of system.

Implications: This fingerprint-based system could potentially be used for car security and safety systems. It offers a scalable accuracy based on the sensor, cost, and request, making it an attractive option for various applications. The system's low FRR and FAR values indicate that it could be a reliable solution for car access and starting.

Link to Article: https://arxiv.org/abs/0308034v1
Authors: 
arXiv ID: 0308034v1

[[Category:Computer Science]]
[[Category:System]]
[[Category:Fingerprint]]
[[Category:Based]]
[[Category:Car]]
[[Category:Transformation]]