Msiza, ISMistry, JNelwamondo, Fulufhelo V2011-09-212011-09-212011-07Msiza, IS, Mistry, J and Nelwamondo, FV. 2011. Towards secondary fingerprint classification. International Conference on Computer Engineering and Applications (ICCEA). Haikou, China, 15-17 July 2011978-953-307-488-7http://hdl.handle.net/10204/5152International Conference on Computer Engineering and Applications (ICCEA). Haikou, China, 15-17 July 2011This manuscript proposes a move towards the secondary level of fingerprint classification. This is done in order to further penetrate a fingerprint template database, and further reduce it to smaller partitions for efficient execution of the database search procedure. This is done through taking advantage of the extensibility of a structural fingerprint classifier when used on slapped, as opposed to rolled, fingerprints. The said classifier first orders a fingerprint into one of four primary fingerprint classes and, thereafter, into one of eight secondary fingerprint classes. Evaluated on the CSIR-Wits Fingerprint Database (CWFD), the primary classification module registers an accuracy figure of 80.4%, and the secondary classification module registers an accuracy figure of 76.8%. This small difference between the two figures is indicative of the validity of the proposed secondary classification module.enFingerprint coreFingerprint deltaPrimary classificationSecondary classificationComputer engineeringComputer applicationsConference PresentationMsiza, I., Mistry, J., & Nelwamondo, F. V. (2011). Towards secondary fingerprint classification. InTech. http://hdl.handle.net/10204/5152Msiza, IS, J Mistry, and Fulufhelo V Nelwamondo. "Towards secondary fingerprint classification." (2011): http://hdl.handle.net/10204/5152Msiza I, Mistry J, Nelwamondo FV, Towards secondary fingerprint classification; InTech; 2011. http://hdl.handle.net/10204/5152 .TY - Conference Presentation AU - Msiza, IS AU - Mistry, J AU - Nelwamondo, Fulufhelo V AB - This manuscript proposes a move towards the secondary level of fingerprint classification. This is done in order to further penetrate a fingerprint template database, and further reduce it to smaller partitions for efficient execution of the database search procedure. This is done through taking advantage of the extensibility of a structural fingerprint classifier when used on slapped, as opposed to rolled, fingerprints. The said classifier first orders a fingerprint into one of four primary fingerprint classes and, thereafter, into one of eight secondary fingerprint classes. Evaluated on the CSIR-Wits Fingerprint Database (CWFD), the primary classification module registers an accuracy figure of 80.4%, and the secondary classification module registers an accuracy figure of 76.8%. This small difference between the two figures is indicative of the validity of the proposed secondary classification module. DA - 2011-07 DB - ResearchSpace DP - CSIR KW - Fingerprint core KW - Fingerprint delta KW - Primary classification KW - Secondary classification KW - Computer engineering KW - Computer applications LK - https://researchspace.csir.co.za PY - 2011 SM - 978-953-307-488-7 T1 - Towards secondary fingerprint classification TI - Towards secondary fingerprint classification UR - http://hdl.handle.net/10204/5152 ER -