dc.contributor.author |
Mlambo, CS
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dc.contributor.author |
Nelwamondo, Fulufhelo V
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dc.contributor.author |
Mathekga, Mmamolatelo E
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dc.date.accessioned |
2015-08-17T13:32:52Z |
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dc.date.available |
2015-08-17T13:32:52Z |
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dc.date.issued |
2014-08 |
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dc.identifier.citation |
Mlambo, 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 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%3D7013099%26userType%3Dinst&denyReason=-134&arnumber=7013099&productsMatched=null&userType=inst
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dc.identifier.uri |
http://hdl.handle.net/10204/8025
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dc.description |
The 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 website |
en_US |
dc.description.abstract |
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. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IEEE |
en_US |
dc.relation.ispartofseries |
Workflow;14850 |
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dc.subject |
Hough transform |
en_US |
dc.subject |
Algorithms |
en_US |
dc.subject |
Minutiae points |
en_US |
dc.subject |
Fingerprint Alignment |
en_US |
dc.title |
Comparison of effective Hough transform-based fingerprint alignment approaches |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Mlambo, C., Nelwamondo, F. V., & Mathekga, M. E. (2014). Comparison of effective Hough transform-based fingerprint alignment approaches. IEEE. http://hdl.handle.net/10204/8025 |
en_ZA |
dc.identifier.chicagocitation |
Mlambo, CS, Fulufhelo V Nelwamondo, and Mmamolatelo E Mathekga. "Comparison of effective Hough transform-based fingerprint alignment approaches." (2014): http://hdl.handle.net/10204/8025 |
en_ZA |
dc.identifier.vancouvercitation |
Mlambo C, Nelwamondo FV, Mathekga ME, Comparison of effective Hough transform-based fingerprint alignment approaches; IEEE; 2014. http://hdl.handle.net/10204/8025 . |
en_ZA |
dc.identifier.ris |
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 -
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en_ZA |