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

^*Corresponding author for this work

School of Optics and Photonics

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

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.

Original language	English
Pages (from-to)	426-433
Number of pages	8
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8833
DOIs	https://doi.org/10.1007/978-3-319-12484-1_48
Publication status	Published - 2014

Keywords

ARM
DSP
HPI
Multi-biometric recognition

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

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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.",

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AU - Li, Jiaqi

AU - He, Yuqing

AU - Zou, Zhe

AU - Huang, Kun

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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.

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

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Keywords

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