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Biometric Recognition Based on Palm Vein image Using Learning Vector Quantization

Biometric Recognition Based on Palm Vein Image Using Learnin...

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International conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME)

作者： Herry Setiawan Eko Mulyanto Yuniarno Department of Computer Science Polytechnic of South Aceh Tapaktuan Indonesia Department of Electrical Engineering Institute of Technology Sepuluh Nopember Surabaya Indonesia

Every human being has its own uniqueness among humans that other good physical form or characteristic trait. Biometrics is the science that can recognize a part of an individual. Therefore, biometric identification is one of the ways that is done to identify the identity of the person. Palm vein biometric is one who lately attracted many researchers and industry because it has several advantages over other physical characteristics such as fingerprint, iris and face. Palm vein has internal features making it difficult undermined, modified and simulated with fake palms. In this study, design and implementation will do a recognition system through the venous vessels. Systems that were built capable of taking images of the Palm veins, detect the presence of venous vessels are then able to tell based on the database. This is done after the process of extraction, processing and manufacturing characteristics against the image of Palm vein vessels. The method used is the phase and learning vector quantization symmetri. Feature extraction using phase symmetri. phase symmetri applied by calculating the amplitude and phase of the signal frequency of the image of the vein which represents detailed information detailed variant of an image of the vein. While learning vector quantization is used for grouping the exclusive result of extraction. This research resulted in the classification with accuracy reaching 94%.

关键词： Veins Feature extraction Training Instruments Information technology Biomedical engineering Vector quantization

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SystemC modelling of lossless compression IP cores for space applications

SystemC modelling of lossless compression IP cores for space...

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conference on design and architectures for signal and image processing

作者： Lucana Santos Ana Gómez Pedro Hernández-Fernández Roberto Sarmiento Institute for Applied Microelectronics University of Las Palmas de Gran Canaria Spain

ISBN: (纸本)9781509030859

In this paper, we perform the Electronic System Level (ESL) modelling and verification of two lossless compression standard algorithms for space applications using the SystemC language. In particular we present the architectures and a description in SystemC of the CCSDS-121 universal lossless compressor and the CCSDS-123 lossless compressor for hyperspectral and multispectral images. Both algorithms were specifically designed to operate on board satellites and they can be utilized as independent standalone compressors as well as jointly. In the latter case, the CCSDS-121 performs the entropy coding stage of the CCSDS-123 compressor. The computational capabilities of the hardware available on a satellite are limited, and hence, it is necessary to design hardware architectures that make it possible to execute the algorithms in an efficient way in terms of throughput, resource utilization and power consumption. On-board compression algorithms are usually implemented on ASICs or FPGAs that are tolerant to solar radiation. The main objective of this work is to describe models of the compressors in SystemC, that enable the generation of specifications for a subsequent implementation phase where the algorithms will be described in a hardware design language (VHDL) that can be efficiently mapped into space-qualified FPGAs. With the SystemC models, we perform an exploration of the design space, refining the architecture, and retrieving information about the limits in performance of the cores, storage requirements, data dependencies and prospective hardware requirements of the later FPGA implementation. The described models also comprise connections to shared communication buses using transaction-level modelling (TLM), allowing their inclusion in an embedded system model that may include a software co-processor as well as other processing cores. Additionally, the models are verified by creating SystemC testbenches that can be reused to verify the IP cores when described in VH

关键词： IP networks Field programmable gate arrays Standards Entropy image coding Hardware Algorithm design and analysis

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Abstract instructions for MIPI C-PHY production feasibility in PCB layout assisted by simulation software

Abstract instructions for MIPI C-PHY production feasibility ...

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International Microsystems, Packaging, Assembly and Circuits Technology (IMPACT)

作者： Tung Liang Chiu Hung Chan Lin Kuei Heng Lai IMPACT 2017 Secretariat Taiwan Printed Circuit Association Taiwan R.O.C.

ISBN: (纸本)9781538647202

MIPI Alliance has developed C-PHY specification which with a higher rate and application level than the past version, such as the current market Camera CMOS image sensors, Display Driver ICs, Application processor for Mobile devices; all need to use this protocol in the future. MIPI C-PHY has a high potential in signal transmission applications. It utilizes three lines of two highly coupled to achieve the same anti-noise capability as traditional differential signals, and uses back-end processing to significantly increase signal transmission rate to 2.28 times the D-PHY. C-PHY must be designed to strict conditions : 3-wire, any two to 100 ohms; each line of 50 ohm, so the layout will be a big challenge, how to design PCB stack up and arrange trace layout is testing layout team and PCB manufacturers design capacity. This paper explores how to develop a C-PHY layout rule and implement it on a PCB board, followed by simulation software to compare the bandwidth and eye diagrams of various layout ways to find the most appropriate design approach. Theoretically: the perfect C-PHY is equidistant to each other, and each 50 ohms, two for the 100 ohm height coupling, so keep the traditional differential pair anti-noise ability. In fact: it is difficult to equidistant with each other and precise control of the impedance, and the upper and lower layers of the amount of noise received is different, so the ability to resist noise slightly worse than the traditional differential pair, but the difference is not too large. In order to achieve the three-wire coupling structure on the PCB board, it is important to ensure that the PCB manufacturer can make it. To achieve a highly coupled triangular C-PHY structure, how to choose between process feasibility and signal integrity is the focus of this article.

关键词： Layout Couplings Testing Probes Companies Software Integrated circuits

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Learned D-AMP: principled neural network based compressive image recovery 17

Learned D-AMP: principled neural network based compressive i...

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Proceedings of the 31st International conference on Neural Information processing Systems

作者： Christopher A. Metzler Ali Mousavi Richard G. Baraniuk Rice University

ISBN: (纸本)9781510860964

Compressive image recovery is a challenging problem that requires fast and accurate algorithms. Recently, neural networks have been applied to this problem with promising results. By exploiting massively parallel GPU processing architectures and oodles of training data, they can run orders of magnitude faster than existing techniques. However, these methods are largely unprincipled black boxes that are difficult to train and often-times specific to a single measurement *** was recently demonstrated that iterative sparse-signal-recovery algorithms can be "unrolled" to form interpretable deep networks. Taking inspiration from this work, we develop a novel neural network architecture that mimics the behavior of the denoising-based approximate message passing (D-AMP) algorithm. We call this new network Learned D-AMP (LDAMP).The LDAMP network is easy to train, can be applied to a variety of different measurement matrices, and comes with a state-evolution heuristic that accurately predicts its performance. Most importantly, it outperforms the state-of-the-art BM3D-AMP and NLR-CS algorithms in terms of both accuracy and run time. At high resolutions, and when used with sensing matrices that have fast implementations, LDAMP runs over 50 x faster than BM3D-AMP and hundreds of times faster than NLR-CS.

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An efficient and effective method for people detection from top-view depth cameras

An efficient and effective method for people detection from ...

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IEEE conference on Advanced Video and signal Based Surveillance (AVSS)

作者： Vincenzo Carletti Luca Del Pizzo Gennaro Percannella Mario Vento Department of Computer and Electrical Engineering and Applied Mathematics University of Salerno Italy

The detection of persons from videos is particularly important in many computer vision contexts being an enabling technology for several relevant applications either for security and safety or for business intelligence purposes. The adoption of a depth sensor mounted in a top-view position is often used to achieve high person detection accuracy as it allows to cope effectively with occlusions and difficult lighting conditions. In this paper, we propose a new method for people detection from depth maps produced by sensors mounted in a zenithal position. The method is designed with the aim of providing an optimal trade off between the detection accuracy and the computational complexity. The proposed approach adopts a dynamic background modeling strategy in order to find the objects of interest into the scene; then a lightweight algorithm is used to filter out the noise from the foreground image and to determine the position of the persons into the scene. The experimental analysis carried out on a public and large dataset allowed to demonstrate that the method is fast and accurate. The method has been compared with respect to two different approaches available in the literature for people detection from a depth camera mounted in a zenithal position: an unsupervised method that is fast although not highly accurate, and a supervised one that conversely is very accurate but less computationally efficient. The proposed method allows to achieve comparable accuracy of the supervised approach using very few computational resources, with a reduction of an order of magnitude of the processing times.

关键词： Cameras Lighting Head Magnetic heads Computer vision Heuristic algorithms Algorithm design and analysis

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DC MUX PUF: A Highly Reliable Feed-Back MUX PUF Based on Measuring Duty Cycle

DC MUX PUF: A Highly Reliable Feed-Back MUX PUF Based on Mea...

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IEEE International conference on ASIC

作者： Yunhao Xu Yingjie Lao Weiqiang Liu Xiaohu You Chuan Zhang National Mobile Communications Research Laboratory Southeast University Nanjing China Lab of Efficient Architectures for Digital-communication and Signal-processing (LEADS) Department of Electrical and Computer Engineering Clemson University Clemson SC USA College of Electronic and Information Engineering Nanjing Uni. Aero. & Astro Nanjing China

Ring oscillator physical unclonable function (RO PUF) and multiplexer physical unclonable function (MUX PUF) are the two mostly used structures that make use of gate delay, but their reliability is not satisfactory enough. In this paper, a new structure, duty cycle multiplexer physical unclonable function (DC MUX PUF) is proposed to improve the reliability. A feed-back structure is added to original MUX PUF and decision method is also changed by measuring duty cycle. Then a simplified model is built to calculate the reliability of DC MUX PUF, a primary Monte Carlo simulation with this model is accomplished. The reliability of DC MUX PUF and the original MUX PUF are compared, and it is suggested that DC MUX PUF performs better than original MUX PUF considering noise variation. Then temperature variation is considered, and simulated by HSPICE. It is suggested that reliability of them are both above 95% when temperature varies. Uniqueness and randomness are all more than 90%. Then the complexity of two kinds of PUF are also taken into consideration. When challenge length becomes long, complexity of this design is relatively lower than original MUX PUF.

关键词： Physical unclonable function feed-back MUX PUF Monte Carlo model reliability

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design and Implementation of Ultraviolet imager for Corona Discharge Detection Based on Solar-Blind AlGaN Focal Plane Arrays

Design and Implementation of Ultraviolet Imager for Corona D...

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Annual conference of the Chinese-Society-for-Optical-Engineering (CSOE) on Applied Optics and Photonics China (AOPC) - Optical Sensing and Imaging Technology and Applications

作者： Wang Jiqiang Li Xiaojuan Wang Ling Xie Jing Zhang Yan Li Xiangyang Chinese Acad Sci Shanghai Inst Tech Phys Key Lab Infrared Imaging Mat & Detectors Shanghai 200083 Peoples R China Chinese Acad Sci Shanghai Inst Tech Phys State Key Labs Transducer Technol Shanghai 200083 Peoples R China

ISBN: (数字)9781510614062

ISBN: (纸本)9781510614062;9781510614055

Corona discharges occur in high voltage electrical equipment in case of defects and damage, while ultraviolet(UV) light generated during discharge. High resolution imaging in the solar-blind UV bands has a lot of applications in corona discharge detection. A ultraviolet imager based on 320x256 solar-blind AlGaN focal plane arrays (FPA) was designed that work even in the sunlight, because the Cut-off wavelength of the AlGaN FPA is 280nm. The UV image signal processing system based on FPGA is composed of various function modules include the voltage bias, sequence drive, A/D data acquisition, non-uniformity correction, video transformation. Due to FPGA-based data acquisition and real-time image processing technology, the UV imager can operate at a rate up to 100 frame/s. The results show that the simulation high voltage ultraviolet image can be obtained by the UV imager. The image non-uniformity correction performed is one-points correction method to realize background subtraction. And the images show good uniformity and contrast. The UV image of the alcohol burner flame can be detected by the Ultraviolet imager. Imaging quality was discussed which can be determined by signal-to-noise ratio (SNR), the integration time, the optics f/number and so on. The best imaging conditions were analyzed and the imaging system was designed and setup. The conclusion is proved that the ultraviolet imager based on solar-blind AlGaN FPA provides a new method for corona discharge detection of high voltage power transmission and distribution system.

关键词： AlGaN UV ultraviolet image corona discharge

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Welcome to the 2014 conference on design and architectures for signal and image processing (dasip) in Madrid, Spain

Conference on Design and Architectures for Signal and Image ...

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conference on design and architectures for signal and image processing, dasip 2014年 2015-May卷

作者： De La Torre, Eduardo Pillement, Sebastien

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27.3 All-wireless 64-channel 0.013mm2/ch closed-loop neurostimulator with rail-to-rail DC offset removal

27.3 All-wireless 64-channel 0.013mm2/ch closed-loop neurost...

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IEEE International conference on Solid-State Circuits (ISSCC)

作者： Hossein Kassiri Reza Pazhouhandeh Nima Soltani M. Tariqus Salam Peter Carlen Jose Luiz P. Velazquez Roman Genov Now with York University Toronto ON Canada University of Toronto Toronto ON Canada Toronto Western Hospital Toronto ON Canada Toronto Hospital for Sick Children Toronto ON Canada

ISBN: (纸本)9781509037599

Accurate capture and efficient control of neurological disorders such as epileptic seizures that often originate in multiple regions of the brain, requires neural interface microsystems with an ever-increasing need for higher channel counts. Addressing this demand within the limited energy and area of brain-implantable medical devices necessitates a search for new circuit architectures. In the conventional designs [1-5], the channel area is dominated by the bulky coupling capacitors and/or capacitor banks of the in-channel ADC, both unavoidable due to the channel architecture, and unscalable with CMOS technology. Additionally, channel power consumption, typically dominated by the LNA, cannot be reduced lower than a certain limit without sacrificing gain and/or noise performance. In this paper, we present a 64-channel wireless closed-loop neurostimulator with a compact and energy-efficient channel architecture that performs both amplification and digitization in a single ΔΣ-based neural ADC, while removing rail-to-rail input DC offset using a digital feedback loop. The channel area and power consumption depend only on the active components and switching frequency, respectively, making the design both technology- and frequency-scalable.

关键词： Wireless communication Transmitters System-on-chip Capacitors Power demand Clocks Digital signal processing

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Deep Learning Pulsed-based Convolutional Neuroprocessor Architecture on FPGAs 2017

Deep Learning Pulsed-based Convolutional Neuroprocessor Arch...

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Proceedings of the 11th International conference on Distributed Smart Cameras

作者： Walther Carballo-Hernández Miguel Arias-Estrada Instituto Nacional de Astrofísica Óptica y Electrónica Computer Science Department Tonanzintla Puebla Mexico

ISBN: (纸本)9781450354875

The biological human brain works with spiking neural networks which computational complexity is simple, compensated by the high density connection between neurons. However, most of our research in artificial neural networks is based on simplified models that need many real values processing elements of complex computing which require too much silicon space, energy and slow learning convergence. Therefore, in this brief article, it is presented a proposal for a fully digital architecture on FPGAs optimized for a highly dense intersynaptic connection on an event-based quantized Sigma-Delta pulse coding for deep Convolutional Neural Networks. This article presents early results of an approach of neuromorphic hardware design for information or pixel luminosity changes coded in time, using Sigma-Delta modulation, the design of a Pulsed Arithmetic-Logic Unit for bitstream operations with quantized weights reducing memory, from 32 bits in floating point representation, down to 1 bit. This 32x memory reduction and binary operation cells in a systolic architectures makes the integration of deep learning models feasible for embedded design like smart cameras using FPGAs.

关键词： Artificial Neural Networks (ANN) Systolic arrays Deep Learning Pulsed Multiplier Field Programmable Gate Array (FPGA) Synaptic weight Activation function Feature map Pulsed Arithmetic Logic Unit Convolutional Neural Networks (CNN) Sigma-Delta (SD) modulation Digital signal processing Pulsed Adder Event-based Neuromorphic Systems

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