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Indexing of single and multi-instance iris data based on LSH-forest and rotation invariant representation

 
: Damer, Naser; Terhörst, Philipp; Braun, Andreas; Kuijper, Arjan

:

Felsberg, Michael (Ed.):
Computer Analysis of Images and Patterns. 17th International Conference, CAIP 2017 : Ystad, Sweden, August 22-24, 2017, Proceedings, Part II
Cham: Springer International Publishing, 2017 (Lecture Notes in Computer Science 10425)
ISBN: 978-3-319-64697-8 (Print)
ISBN: 978-3-319-64698-5 (Online)
ISBN: 3-319-64697-4
S.190-201
International Conference on Computer Analysis of Images and Patterns (CAIP) <17, 2017, Ystad>
Englisch
Konferenzbeitrag
Fraunhofer IGD ()
biometrics; multibiometrics; Iris recognition; indexing; CRISP; Guiding Theme: Digitized Work; Guiding Theme: Smart City; Research Area: Computer vision (CV); Research Area: Human computer interaction (HCI)

Abstract
Indexing of iris data is required to facilitate fast search in large-scale biometric systems. Previous works addressing this issue were challenged by the tradeoffs between accuracy, computational efficacy, storage costs, and maintainability. This work presents an iris indexing approach based on rotation invariant iris representation and LSH-Forest to produce an accurate and easily maintainable indexing structure. The complexity of insertion or deletion in the proposed method is limited to the same logarithmic complexity of a query and the required storage grows linearly with the database size.
The proposed approach was extended into a multi-instance iris indexing scheme resulting in a clear performance improvement. Single iris indexing scored a hit rate of 99.7% at a 0.1% penetration rate while multi-instance indexing scored a 99.98% hit rate at the same penetration rate. The evaluation of the proposed approach was conducted on a large database of 50k references and 50k probes of the left and the right irises. The advantage of the proposed solution was put into prospective by comparing the achieved performance to the reported results in previous works.

: http://publica.fraunhofer.de/dokumente/N-461510.html