Mlambo, CSNelwamondo, Fulufhelo VMathekga, Mmamolatelo E2015-08-172015-08-172014-08Mlambo, C.S, Nelwamondo, F.V and Mathekga, M.E. 2014. Comparison of effective Hough transform-based fingerprint alignment approaches. In: The IEEE International Symposium on Biometrics & Security Technologies (ISBAST 2014), Kuala Lumpur, Malaysia, 26-27 August 2014http://ieeexplore.ieee.org/Xplore/defdeny.jsp?url=http%3A%2F%2Fieeexplore.ieee.org%2Fstamp%2Fstamp.jsp%3Ftp%3D%26arnumber%3D7013099%26userType%3Dinst&denyReason=-134&arnumber=7013099&productsMatched=null&userType=insthttp://hdl.handle.net/10204/8025The IEEE International Symposium on Biometrics & Security Technologies (ISBAST 2014), Kuala Lumpur, Malaysia, 26-27 August 2014. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's websiteIn this paper, two effective and mostly used Hough Transform (HT) based fingerprint alignment approaches are compared, namely; Local Match Based Alignment (LMBA) and Discretized Rotation Based Alignment (DRBA). The comparison was performed by considering different conditions of minutiae points, which are rotation, translation and the number of minutiae points. In addition, this research reports the advantages of understanding the quality and relationships between the wide varieties of existing HT based fingerprint alignment methods. Minutiae points extracted from fingerprints of FVC2000 database were used on the experiments to compare these approaches. The results revealed that LMBA approach performs better than the DRBA approach on minutiae points set with larger rotation and small number of points. The DRBA approach was found to perform better with minutiae points with large amount of translation, and the computational time was less than that of LMBA approach. However, the memory usage required in DRBA is greater than memory required in LMBA.enHough transformAlgorithmsMinutiae pointsFingerprint AlignmentConference PresentationMlambo, C., Nelwamondo, F. V., & Mathekga, M. E. (2014). Comparison of effective Hough transform-based fingerprint alignment approaches. IEEE. http://hdl.handle.net/10204/8025Mlambo, CS, Fulufhelo V Nelwamondo, and Mmamolatelo E Mathekga. "Comparison of effective Hough transform-based fingerprint alignment approaches." (2014): http://hdl.handle.net/10204/8025Mlambo C, Nelwamondo FV, Mathekga ME, Comparison of effective Hough transform-based fingerprint alignment approaches; IEEE; 2014. http://hdl.handle.net/10204/8025 .TY - Conference Presentation AU - Mlambo, CS AU - Nelwamondo, Fulufhelo V AU - Mathekga, Mmamolatelo E AB - In this paper, two effective and mostly used Hough Transform (HT) based fingerprint alignment approaches are compared, namely; Local Match Based Alignment (LMBA) and Discretized Rotation Based Alignment (DRBA). The comparison was performed by considering different conditions of minutiae points, which are rotation, translation and the number of minutiae points. In addition, this research reports the advantages of understanding the quality and relationships between the wide varieties of existing HT based fingerprint alignment methods. Minutiae points extracted from fingerprints of FVC2000 database were used on the experiments to compare these approaches. The results revealed that LMBA approach performs better than the DRBA approach on minutiae points set with larger rotation and small number of points. The DRBA approach was found to perform better with minutiae points with large amount of translation, and the computational time was less than that of LMBA approach. However, the memory usage required in DRBA is greater than memory required in LMBA. DA - 2014-08 DB - ResearchSpace DP - CSIR KW - Hough transform KW - Algorithms KW - Minutiae points KW - Fingerprint Alignment LK - https://researchspace.csir.co.za PY - 2014 T1 - Comparison of effective Hough transform-based fingerprint alignment approaches TI - Comparison of effective Hough transform-based fingerprint alignment approaches UR - http://hdl.handle.net/10204/8025 ER -