A Multi-Threaded Fingerprint Direct-Access Strategy Using Local-Star-Structure-based Discriminator Features

G. Indrawan, B. Sitohang, S. Akbar, A. S. Nugroho

Abstract


Taking advantage of multi-thread technology provided by multi-core in single processor, this paper describes multi-thread implementation on fingerprint direct-access strategy using local-star-topology-based discriminator features. Multi-thread was applied for data partitioning on hashing add-lookup process, and for work partitioning on similarity score computation. Efficiency of the implementation was achieved, as confirmed by the results of experiments. Using quad-thread of dual-core single processor on last three largest databases on experiment, multi-thread implementation can reduce searching time at relatively constant value around 300 ms compare to its single-thread implementation. This result achieved with relatively same accuracy trend and has significant improvement by considering millisecond order of searching process on large scale data.

 

DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.5208


Keywords


Biometrics; Fingerprint; Learning System; Parallel Processing

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Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

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