Abstract
One of the most important issues in fingerprint recognition is that the impressions of different fingers may appear very similar to each other (high inter-class similarity) and like-wise, different acquisition of the same finger may be dissimilar from each other (high intra-class variation). To compensate for high intra-class variation and inter-class similarity, this paper addresses two challenging issues in partial fingerprint recognition which are alignment and computing the similarity score. Rotational and displacement variation between registered and query fingerprints occur during scanning. As a consequence, fingerprint alignment is essential to correct for the rotational and translation difference between fingerprints prior to matching. By perfectly aligning the fingerprints, the matching could be simplified. Considering the possibility of high intra-class variation and inter-class similarity, how the similarity score of two fingerprints is computed plays an important role in system's match or non-match decision.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia (MoMM2015) |
| Editors | Liming Luke Chen, Matthias Steinbauer, Ismail Khalil, Gabriele Anderst-Kotsis |
| Place of Publication | New York, NY, USA |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 275-284 |
| Number of pages | 10 |
| ISBN (Print) | 9781450334938 |
| DOIs | |
| Publication status | Published - 11 Dec 2015 |
| Event | International Conference on Advances in Mobile Computing and Multimedia 2015 - Brussels, Belgium Duration: 11 Dec 2015 → 13 Dec 2015 Conference number: 13th |
Conference
| Conference | International Conference on Advances in Mobile Computing and Multimedia 2015 |
|---|---|
| Abbreviated title | MoMM 2015 |
| Country | Belgium |
| City | Brussels |
| Period | 11/12/15 → 13/12/15 |
Cite this
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Partial fingerprint alignment and matching through region-based approach. / Zanganeh, Omid; Bhattacharjee, Nandita; Srinivasan, Bala.
Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia (MoMM2015). ed. / Liming Luke Chen; Matthias Steinbauer; Ismail Khalil; Gabriele Anderst-Kotsis. New York, NY, USA : Association for Computing Machinery (ACM), 2015. p. 275-284.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
TY - GEN
T1 - Partial fingerprint alignment and matching through region-based approach
AU - Zanganeh, Omid
AU - Bhattacharjee, Nandita
AU - Srinivasan, Bala
PY - 2015/12/11
Y1 - 2015/12/11
N2 - One of the most important issues in fingerprint recognition is that the impressions of different fingers may appear very similar to each other (high inter-class similarity) and like-wise, different acquisition of the same finger may be dissimilar from each other (high intra-class variation). To compensate for high intra-class variation and inter-class similarity, this paper addresses two challenging issues in partial fingerprint recognition which are alignment and computing the similarity score. Rotational and displacement variation between registered and query fingerprints occur during scanning. As a consequence, fingerprint alignment is essential to correct for the rotational and translation difference between fingerprints prior to matching. By perfectly aligning the fingerprints, the matching could be simplified. Considering the possibility of high intra-class variation and inter-class similarity, how the similarity score of two fingerprints is computed plays an important role in system's match or non-match decision.
AB - One of the most important issues in fingerprint recognition is that the impressions of different fingers may appear very similar to each other (high inter-class similarity) and like-wise, different acquisition of the same finger may be dissimilar from each other (high intra-class variation). To compensate for high intra-class variation and inter-class similarity, this paper addresses two challenging issues in partial fingerprint recognition which are alignment and computing the similarity score. Rotational and displacement variation between registered and query fingerprints occur during scanning. As a consequence, fingerprint alignment is essential to correct for the rotational and translation difference between fingerprints prior to matching. By perfectly aligning the fingerprints, the matching could be simplified. Considering the possibility of high intra-class variation and inter-class similarity, how the similarity score of two fingerprints is computed plays an important role in system's match or non-match decision.
UR - http://www.scopus.com/inward/record.url?scp=84968764196&partnerID=8YFLogxK
U2 - 10.1145/2837126.2837132
DO - 10.1145/2837126.2837132
M3 - Conference Paper
SN - 9781450334938
SP - 275
EP - 284
BT - Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia (MoMM2015)
A2 - Chen, Liming Luke
A2 - Steinbauer, Matthias
A2 - Khalil, Ismail
A2 - Anderst-Kotsis, Gabriele
PB - Association for Computing Machinery (ACM)
CY - New York, NY, USA
ER -