Accelerating fingerprint enhancement algorithm on GPGPU using openCL

被引：0

作者：

Kim D. ^{[1
]}

Park N. ^{[1
]}

机构：

[1] Dept. of Computer Science and Engineering, Konkuk University

来源：

Park, Neungsoo (neungsoo@konkuk.ac.kr) | 1600年 / Korean Institute of Electrical Engineers卷 / 65期

关键词：

Fingerprint; Gpgpu; OpenCL;

D O I：

10.5370/KIEE.2016.65.4.666

中图分类号：

学科分类号：

摘要：

Recently the fingerprint is widely used as one of biometrics to improve the security of financial mobile applications, because of its user convenience and high recognition rate. However, in order to apply fingerprint algorithms to finance and security applications, the recognition rate and processing speed of the fingerprint algorithms have to be improved further. In this paper, we propose the parallel fingerprint enhancement algorithm on general-purpose computing on graphics processing unit (GPGPU) using OpenCL. We discuss the analysis of the parallelism in the fingerprint algorithm as well as the exploration of optimization parameters of the parallel fingerprint algorithm to improve the performance. The experimental results showed that the execution of parallel fingerprint enhancement algorithm on GPGPUs was accelerated from 29.4 upto 69.2 times compared with the execution of the original one on the host CPUs. © The Korean Institute of Electrical Engineers.

引用

页码：666 / 672

页数：6

共 9 条

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