Fast Fingerprint Recognition Solution Based on Neuron Chip Engine

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外文摘要：In this paper, we address fast fingerprint recognition and related technical problems arising in various of embedded systems with critical information security considerations nowadays. Our method adopts a truly parallel processing neuron chip to accelerate the recognition speed. We propose an effective algorithm by combining Eight Directions Gabor Filters to filter the real-life finger images and Principal Component Analysis (PCA) method to reduce the dimensions of feature vectors. Experiments show that the hardware based fingerprint system has better performance than these conventional systems in regards to accuracy and speed.

外文关键词：

Fingerprint RecognitionEight Directions Gabor FiltersPCAParallel Processing

作者：

Anping He、Xu Han、Tiantian Duan、Han Wu、Ning Zhou、Rong Liu、Xinyan Gao

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作者单位：

School of Information Science and Engineering, Lanzhou University, Lanzhou 730000, China

G&S Labs, School of Software, Dalian University of Technology, Dalian 116620, China

School of Electronic and Information Engineering, Lanzhou Jiaotong University Lanzhou 730070, China

Department of Biomedical Engineering of Dalian University of Technology, Dalian 116600, China

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出版年：

2015

DOI：

10.12733/jics20107049

Journal of information and computational science

ISSN：1548-7741

年,卷(期)：2015.12(18)