期刊名称:International Journal of Computer Information Systems and Industrial Management Applications
印刷版ISSN:2150-7988
电子版ISSN:2150-7988
出版年度:2013
卷号:5
页码:373-382
出版社:Machine Intelligence Research Labs (MIR Labs)
摘要:This paper presents the challenges of consolidating fingerprint databases in Malaysia as well as approaches that can be taken to solve some of these challenges. Solutions leverages on opportunities presented by standard bodies, advances in cloud computing as well as a framework which leverages on classifiers and decision fusion in order to reduce the large search space expected of a consolidated fingerprint database. Empirical results are presented to demonstrate the viability of t he feature search space reduct ion framework, as well as to demonstrate the robustness and scalability of the framework when additional biometric modalities are required to be considered.