Design of an embedded multi-biometric recognition platform based on DSP and ARM

Jiaqi Li; Yuqing He; Zhe Zou; Kun Huang

doi:10.1007/978-3-319-12484-1_48

Design of an embedded multi-biometric recognition platform based on DSP and ARM

Jiaqi Li, Yuqing He^*, Zhe Zou, Kun Huang

^*此作品的通讯作者

光电学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

1 引用（Scopus）

摘要

Thedual-core embedded system can make the system have higher efficiency of simultaneous running in the recognition algorithm and controlling the peripheral equipments. This paper presents a study of an embedded multibiometric recognition system based on DSP and ARM which can realize the face and iris image acquisition, recognition, datastorage and input/output control. The ARM is used as a host to communicate with peripherals. The DSP performs the multi-biometric image acquisition and recognition. The host port interface (HPI) is used to implement the communication between DSP and ARM. We design the HPI strobe signal and the hardware device driver based on the embedded Linux to realize the data exchange and communication. Experimental results show that the dual-core embedded system has greater storage capacity and higher interactive ability.

源语言	英语
页（从-至）	426-433
页数	8
期刊	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	8833
DOI	https://doi.org/10.1007/978-3-319-12484-1_48
出版状态	已出版 - 2014

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title = "Design of an embedded multi-biometric recognition platform based on DSP and ARM",

abstract = "Thedual-core embedded system can make the system have higher efficiency of simultaneous running in the recognition algorithm and controlling the peripheral equipments. This paper presents a study of an embedded multibiometric recognition system based on DSP and ARM which can realize the face and iris image acquisition, recognition, datastorage and input/output control. The ARM is used as a host to communicate with peripherals. The DSP performs the multi-biometric image acquisition and recognition. The host port interface (HPI) is used to implement the communication between DSP and ARM. We design the HPI strobe signal and the hardware device driver based on the embedded Linux to realize the data exchange and communication. Experimental results show that the dual-core embedded system has greater storage capacity and higher interactive ability.",

keywords = "ARM, DSP, HPI, Multi-biometric recognition",

author = "Jiaqi Li and Yuqing He and Zhe Zou and Kun Huang",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.",

year = "2014",

doi = "10.1007/978-3-319-12484-1_48",

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T1 - Design of an embedded multi-biometric recognition platform based on DSP and ARM

AU - Li, Jiaqi

AU - He, Yuqing

AU - Zou, Zhe

AU - Huang, Kun

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2014.

PY - 2014

Y1 - 2014

N2 - Thedual-core embedded system can make the system have higher efficiency of simultaneous running in the recognition algorithm and controlling the peripheral equipments. This paper presents a study of an embedded multibiometric recognition system based on DSP and ARM which can realize the face and iris image acquisition, recognition, datastorage and input/output control. The ARM is used as a host to communicate with peripherals. The DSP performs the multi-biometric image acquisition and recognition. The host port interface (HPI) is used to implement the communication between DSP and ARM. We design the HPI strobe signal and the hardware device driver based on the embedded Linux to realize the data exchange and communication. Experimental results show that the dual-core embedded system has greater storage capacity and higher interactive ability.

AB - Thedual-core embedded system can make the system have higher efficiency of simultaneous running in the recognition algorithm and controlling the peripheral equipments. This paper presents a study of an embedded multibiometric recognition system based on DSP and ARM which can realize the face and iris image acquisition, recognition, datastorage and input/output control. The ARM is used as a host to communicate with peripherals. The DSP performs the multi-biometric image acquisition and recognition. The host port interface (HPI) is used to implement the communication between DSP and ARM. We design the HPI strobe signal and the hardware device driver based on the embedded Linux to realize the data exchange and communication. Experimental results show that the dual-core embedded system has greater storage capacity and higher interactive ability.

KW - ARM

KW - DSP

KW - HPI

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SN - 0302-9743

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JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -

Design of an embedded multi-biometric recognition platform based on DSP and ARM

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