Baruni, Kedimotse PNair, Kishor KRatsoma, Mahlatse S2023-04-062023-04-062018-08Baruni, K.P., Nair, K.K. & Ratsoma, M.S. 2018. Finger code matching algorithm using circular tessellation. http://hdl.handle.net/10204/12721 .978-1-5386-3060-0978-1-5386-3061-7DOI: 10.1109/ICABCD.2018.8465447http://hdl.handle.net/10204/12721Due to the rising concern of data security and privacy, fingerprint recognition has been used for identity verification. This paper presents a minutiae-based finger code matching algorithm for identity verification. It describes the effect of using different sizes circular neighborhood minutiae tessellation to generate a finger code for identity verification using a fingerprint. The analysis of how the matching accuracy is affected using different sizes of circular neighborhood minutiae tessellations is described. A minutiae-based matching algorithm using multiple reference minutiae to generate a finger code is presented. The proposed finger code matching algorithm offers the advantage of matching speed due to the usage of binary codes and it can also be implemented on embedded platforms such as smart cards. The finger code matching algorithm obtained the highest matching accuracy of 7.03% Equal Error Rate (EER) using database DB1-b of Fingerprint Verification Competition 2002 (FVC2002).AbstractenBiometricsCircular tessellationFingerprintFinger codesMinutiaeConference PresentationBaruni, K. P., Nair, K. K., & Ratsoma, M. S. (2018). Finger code matching algorithm using circular tessellation. http://hdl.handle.net/10204/12721Baruni, Kedimotse P, Kishor K Nair, and Mahlatse S Ratsoma. "Finger code matching algorithm using circular tessellation." <i>2018 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD), Durban, South Africa, 6-7 August 2018</i> (2018): http://hdl.handle.net/10204/12721Baruni KP, Nair KK, Ratsoma MS, Finger code matching algorithm using circular tessellation; 2018. http://hdl.handle.net/10204/12721 .TY - Conference Presentation AU - Baruni, Kedimotse P AU - Nair, Kishor K AU - Ratsoma, Mahlatse S AB - Due to the rising concern of data security and privacy, fingerprint recognition has been used for identity verification. This paper presents a minutiae-based finger code matching algorithm for identity verification. It describes the effect of using different sizes circular neighborhood minutiae tessellation to generate a finger code for identity verification using a fingerprint. The analysis of how the matching accuracy is affected using different sizes of circular neighborhood minutiae tessellations is described. A minutiae-based matching algorithm using multiple reference minutiae to generate a finger code is presented. The proposed finger code matching algorithm offers the advantage of matching speed due to the usage of binary codes and it can also be implemented on embedded platforms such as smart cards. The finger code matching algorithm obtained the highest matching accuracy of 7.03% Equal Error Rate (EER) using database DB1-b of Fingerprint Verification Competition 2002 (FVC2002). DA - 2018-08 DB - ResearchSpace DP - CSIR J1 - 2018 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD), Durban, South Africa, 6-7 August 2018 KW - Biometrics KW - Circular tessellation KW - Fingerprint KW - Finger codes KW - Minutiae LK - https://researchspace.csir.co.za PY - 2018 SM - 978-1-5386-3060-0 SM - 978-1-5386-3061-7 T1 - Finger code matching algorithm using circular tessellation TI - Finger code matching algorithm using circular tessellation UR - http://hdl.handle.net/10204/12721 ER -21355