Date of Graduation
Bachelor of Science in Computer Engineering
Computer Science and Computer Engineering
Committee Member/Second Reader
Fingerprint identification is one of the most accurate sources of identification, yet it is not widely used in public facilities for security concerns. Moreover, the cost of fingerprint system is inaccessible for small-budget business because of their high cost. Therefore, this study created an open-source solution to secure fingerprint samples in the database while using low-cost hardware components. Locality Sensitive Hashing Algorithms such as ORB and Image hash were compared in this study as a potential alternative to SURF. To test the design, fifteen samples were collected and stored in a database without verifying the quality of the samples. Then, thirteen other samples were read from the sensor and forty-five permutations were created from the first fifteen samples. The results showed that a low-cost system can secure fingerprint sample in a database using Open-source technologies, but the identification process needs some improvement. Also, the study showed that image hash is a good alternative to SURF when the sensors readings are a force to one position.
Fingerprint, security, database, feature extractor
Sanchez, E. (2018). Fingerprint Database Privacy Guard: an Open-source System that Secures Fingerprints with Locality Sensitive Hashing Algorithms. Computer Science and Computer Engineering Undergraduate Honors Theses Retrieved from https://scholarworks.uark.edu/csceuht/63