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An improved Hough transform-based fingerprint alignment approach

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dc.contributor.author Mlambo, CS
dc.contributor.author Nelwamondo, Fulufhelo V
dc.contributor.author Mathekga, Mmamolatelo E
dc.date.accessioned 2015-08-19T10:48:14Z
dc.date.available 2015-08-19T10:48:14Z
dc.date.issued 2014-11
dc.identifier.citation Mlambo, C.S, Nelwamondo, F.V and Mathekga, M.E. 2014. An improved Hough transform-based fingerprint alignment approach. In: IEEE International Image Processing, Applications and Systems Conference, (IPAS'14), Hammamet, Tunisia, 5-7 November 2014 en_US
dc.identifier.uri http://ieeexplore.ieee.org/Xplore/defdeny.jsp?url=http%3A%2F%2Fieeexplore.ieee.org%2Fstamp%2Fstamp.jsp%3Ftp%3D%26arnumber%3D7043259%26userType%3Dinst&denyReason=-134&arnumber=7043259&productsMatched=null&userType=inst
dc.identifier.uri http://hdl.handle.net/10204/8054
dc.identifier.uri http://ieeexplore.ieee.org/iel7/7031481/7043254/07043259.pdf
dc.description IEEE International Image Processing, Applications and Systems Conference, (IPAS'14), Hammamet, Tunisia, 5-7 November 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 website en_US
dc.description.abstract An improved Hough Transform based fingerprint alignment approach is presented, which improves computing time and memory usage with accurate alignment parameter (rotation and translation) results. This is achieved by studying the strengths and weaknesses of existing Hough Transform based fingerprint alignment algorithms, and combining the strengths to an improved approach. The results of alignment parameters are checked manually for each image after alignment. The experimental results indicated that the improved approach improves accuracy at a less computing time and memory usage. The experiments were performed using FVC2000 and FVC2004 databases as there are different impressions of fingerprints that represent possible fingerprint rotations and translations. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartofseries Workflow;14849
dc.subject Alignment parameters en_US
dc.subject Hough transform en_US
dc.subject Minutiae points en_US
dc.subject Memory usage en_US
dc.subject Computing time en_US
dc.title An improved Hough transform-based fingerprint alignment approach en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Mlambo, C., Nelwamondo, F. V., & Mathekga, M. E. (2014). An improved Hough transform-based fingerprint alignment approach. IEEE. http://hdl.handle.net/10204/8054 en_ZA
dc.identifier.chicagocitation Mlambo, CS, Fulufhelo V Nelwamondo, and Mmamolatelo E Mathekga. "An improved Hough transform-based fingerprint alignment approach." (2014): http://hdl.handle.net/10204/8054 en_ZA
dc.identifier.vancouvercitation Mlambo C, Nelwamondo FV, Mathekga ME, An improved Hough transform-based fingerprint alignment approach; IEEE; 2014. http://hdl.handle.net/10204/8054 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Mlambo, CS AU - Nelwamondo, Fulufhelo V AU - Mathekga, Mmamolatelo E AB - An improved Hough Transform based fingerprint alignment approach is presented, which improves computing time and memory usage with accurate alignment parameter (rotation and translation) results. This is achieved by studying the strengths and weaknesses of existing Hough Transform based fingerprint alignment algorithms, and combining the strengths to an improved approach. The results of alignment parameters are checked manually for each image after alignment. The experimental results indicated that the improved approach improves accuracy at a less computing time and memory usage. The experiments were performed using FVC2000 and FVC2004 databases as there are different impressions of fingerprints that represent possible fingerprint rotations and translations. DA - 2014-11 DB - ResearchSpace DP - CSIR KW - Alignment parameters KW - Hough transform KW - Minutiae points KW - Memory usage KW - Computing time LK - https://researchspace.csir.co.za PY - 2014 T1 - An improved Hough transform-based fingerprint alignment approach TI - An improved Hough transform-based fingerprint alignment approach UR - http://hdl.handle.net/10204/8054 ER - en_ZA


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