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 multi-biometric 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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Li, J., He, Y., Zou, Z., Huang, K. (2014). Design of an Embedded Multi-biometric Recognition Platform Based on DSP and ARM. In: Sun, Z., Shan, S., Sang, H., Zhou, J., Wang, Y., Yuan, W. (eds) Biometric Recognition. CCBR 2014. Lecture Notes in Computer Science, vol 8833. Springer, Cham. https://doi.org/10.1007/978-3-319-12484-1_48
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DOI: https://doi.org/10.1007/978-3-319-12484-1_48
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12483-4
Online ISBN: 978-3-319-12484-1
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