Key Generation from Fingerprint Biometric

Fingerprint identification has emerged as a popular choice owing to its distinctiveness and inalterability. Nevertheless, most research concentrates on the direct storage of fingerprint templates and depends on fingerprint characteristics for the purpose of identification. This study aims to extract and store a distinctive key, derived from the characteristics of fingerprint patterns, from multiple fingerprint images belonging to a single user. The utilization of error correction methodologies, particularly the Reed-Solomon Code, is anticipated to yield consistent outcomes in terms of the extracted keys. The accuracy of a method is evaluated by computing the False Negative Rate and False Positive Rate.