مقاله FPGA-based IP cores implementation for face recognition using dynamic partial reconfiguration : تی پی بین

خلاصه مقاله

This paper presents a combination of novel feature vectors construction approach for face recognition using discrete wavelet transform (DWT) and field programmable gate array (FPGA)-based intellectual property (IP) core implementation of transform block in face recognition systems. Initially, four experiments have been conducted including the DWT feature selection and filter choice, features optimisation by coefficient selections and feature threshold. To examine the most suitable method of feature extraction, different wavelet quadrant and scales have been evaluated, and it is followed with an evaluation of different wavelet filter choices and their impact on recognition accuracy. In this study, an approach for face recognition based on coefficient selection for DWT is presented, and the significant of DWT coefficient threshold selection is also analysed. For the hardware implementation, two architectures for two-dimensional (2-D) Haar wavelet transform (HWT) IP core with transpose-based computation and dynamic partial reconfiguration (DPR) have been synthesised using VHDL and implemented on Xilinx Virtex-5 FPGAs. Experimental results and comparisons between different configurations using partial and non-partial reconfiguration processes and a detailed performance analysis of the area, power consumption and maximum frequency are also discussed in this paper.

نویسندگان

Afandi Ahmad [ Department of Computer Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia (UTHM), Johor, Malaysia ]

Abbes Amira [ Nanotechnology and Integrated Bio-Engineering Centre (NIBEC), Faculty of Computing and Engineering, University of Ulster (Jordanstown Campus), Ulster, Northern Ireland ]

Paul Nicholl [ School of Electronic, Electrical Engineering and Computer Science, The Queens University, Belfast, Northern Ireland ]

Benjamin Krill [ Nanotechnology and Integrated Bio-Engineering Centre (NIBEC), Faculty of Computing and Engineering, University of Ulster (Jordanstown Campus), Ulster, Northern Ireland ]

کلمات کلیدی

(Field programmable gate array (FPGA) Face recognition Discrete wavelet transform (DWT) Dynamic partial reconfiguration (DPR

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Journal of Real-Time Image Processing 2013

Although there are many journals addressing the subject of image processing, the Journal of Real-Time Image Processing (JRTIP) is the only one that is solely dedicated to the real-time aspect of image and video processing. It is often the case that an image processing algorithm is developed and proven theoretically sound, presumably with a specific application in mind, but its practical applications and the detailed steps, methodology, and trade-off analysis required to achieve its real-time performance are never fully explored. JRTIP is thus intended to bridge the gap between the theory and practice of image and video processing, serving the greater community of researchers, practicing engineers, and industrial professionals who deal with designing, implementing or utilizing real-time image and video processing systems. The real-time aspect is critical in many real-world devices or products such as mobile phones, digital still/video/cell-phone cameras, portable media players, personal digital assistants, high-definition television, video surveillance systems, industrial visual inspection systems, medical imaging devices, vision-assisted intelligent robots, spectral imaging systems, and many other embedded image or video processing systems. Topics covered in the journal include: Real-time image and video processing algorithmsReal-time embedded image/video processing systems Real-time image and video processing hardware and architecture including FPGA, DSP, GPU, GPP, ASIC, System-on-Chip (SoC), and System-in-a-Package (SiP) implementations Real-time software optimizations and related design paradigms for image/video processingReal-time hardware/software co-design for image and video processing Real-time image and video processing applications including digital, cell-phone, and smart cameras, machine vision, industrial inspection, surveillance and security, image and video compression, for transmission and for database storage and retrieval, biomedical imaging, spectral imaging, etc.

حوزه های تحت پوشش : Image Processing and Computer Vision, Multimedia Information Systems, Computer Graphics, Pattern Recognition