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14th international Symposium on Pervasive Systems, Algorithms and Networks (I-SPAN) / 11th international conference on Frontier of Computer Science and Technology (FCST) / 3rd international Symposium of Creative Computing (ISCC)

作者： Wang, Jing Chen, Shiqiang Xiang, Changcheng Yu, Ya Li, Jun Hubei Univ Nationalities Sch Informat & Engn Enshi Hubei Peoples R China Hubei Univ Nationalities Sch Sci Enshi Hubei Peoples R China

ISBN: (纸本)9781538608401

To solve the problem of real-time and regional identification in an intelligent control classroom, both edge and extended moment invariants are employed in this paper. By computing and visually analysing the moment invariants from a classroom video image, a set of 10-dimensional edge invariant moments is chosen, which is stable, practical and provides adequate real-time performance. The pattern recognition method of a support vector machine is used to distinguish the humans from the objects in the classroom image. Experimental results are provided to show that this group of moments achieves excellent results, and the recognition rate can reach 99.81%.

关键词： Hu moment visual analysis support vector machine pattern recognition

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Face recognition Research Based on the Fusion of Layered LBP Feature 3

Face Recognition Research Based on the Fusion of Layered LBP...

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3rd international conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration, ICIICII 2017

作者： Yang, Xiao-Qiang Zhang, Xiao-Bing Xi' An University of Science and Technology Computer Science Technology College Shaanxi Xi'an China

ISBN: (纸本)9781538624340

Local Binary pattern(LBP) is an operator to describe the local texture of face, which has the characteristics of rotation invariance and grayscale invariance. This paper proposed a face recognition arithmetic based on the fusion of layered LBP feature(F-LLBP), using the LBP operator to extract the layered texture feature, fusing the characteristics of each layer, reducing the dimension with Principal Component Analysis and Linear Discriminant Analysis(PCA-LDA) to get a set of low dimensional characteristic which are easy to classify, finally using the KNN arithmetic to classify. The experiments on ORL face database verifies the effectiveness of the F-LLBP, the experimental results indicate that the recognition rate of FLLBP increased 8% relative to the traditional LBP feature combined with PCA dimension reduction arithmetic. © 2017 IEEE.

关键词： Local binary pattern

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pattern recognition based fault classification for teed transmission line 3

Pattern recognition based fault classification for teed tran...

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3rd IEEE international conference on Advances in Electrical and Electronics, Information, Communication and Bio-Informatics, AEEICB 2017

作者： Parmar Dipak, R. Yvyas, Bhargav Electrical Department L.E. College Morbi India

ISBN: (纸本)9781509054343

Transmission line protection schemes of teed lines poses difficulties due to infeed or out feed from teed terminal. Reflections from Third Terminal Point also complicate the protection aspect. In this paper, a protection scheme for fault classification using Wavelet transform based power spectrum density is presented for teed transmission line. The spectrum based fault density analysis uses Wavelet transform to extract the usable frequency bands to be used to enhance fault patterns of various fault signal for faulty phase identification. The scheme uses high frequency components of the fault current signals for fault classification. Autoregressive power spectrum density estimate by Yule-walker method is used for distribution of power which is term of frequency. © 2017 IEEE.

关键词： Electric lines

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Finger knuckle print recognition system using compound local binary pattern 3

Finger knuckle print recognition system using compound local...

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3rd international conference on Electrical and Information Technologies, ICEIT 2017

作者： Amraoui, Amine Fakhri, Youssef Kerroum, Mounir Ait LaRIT Laboratory Faculty of Science Ibn Tofail University Kenitra Morocco LaRIT Laboratory ENCG Ibn Tofail University Kenitra Morocco

ISBN: (纸本)9781538615164

With the explosive growth of digital transactions, the security of personal identity presents a serious challenge in our world today. It has become necessary to provide reliable and robust recognition systems. To overcome this problem, we propose a novel approach for finger knuckle print using Compound Local Binary pattern (CLBP). Unlike the LBP operator, the CLBP add an extra bit for each P bits encoded by LBP corresponding to a neighbor of the local neighborhood, in order to construct a robustious feature descriptor that exploits both the sign and the inclination information of the differences between the center and the neighbor gray values. The effectiveness of proposed method has been verified on PolyU FKP database. The experimental results show that the recognition rates are significantly improved compared with others methods existing in literature. The recognition rate of the proposed method is the highest among the other algorithms. The optimal recognition rates obtained is 98,18%, 99,29%, 98,48% and 98,89% for Left Index, Left Middle, Right Index and Right Middle, respectively. © 2017 IEEE.

关键词： Local binary pattern

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Development of six-DOF welding robot with machine vision

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MODERN PHYSICS LETTERS B 2018年第34-36期32卷

作者： Huang, Wensheng Xu, Hongli Changzhou Inst Technol Sch Elect & Optoelect Engn 666 Liaohe Rd Changzhou 213026 Peoples R China Changzhou Inst Technol Sch Mech & Automobile Engn 666 Liaohe Rd Changzhou 213026 Peoples R China

The application of machine vision to industrial robots is a hot topic in robot research nowadays. A welding robot with machine vision had been developed, which is convenient and flexible to reach the welding point with six degrees-of-freedom (DOF) manipulator, while the singularity of its movement trail is prevented, and the stability of the mechanism had been fully guaranteed. As the precise industry camera can capture the optical feature of the workpiece to reflect in the camera's CCD lens, the workpiece is identified and located through a visual pattern recognition algorithm based on gray scale processing, on the gradient direction of edge pixel or on geometric element so that high-speed visual acquisition, image preprocessing, feature extraction and recognition, target location are integrated and hardware processing power is improved. Another task is to plan control strategy of control system, and the upper computer software is programmed in order that multi-axis motion trajectory is optimized and servo control is accomplished. Finally, prototype was developed and validation experiments show that the welding robot has high stability, high efficiency, high precision, even if welding joints are random and workpiece contour is irregular.

关键词： Welding robot linear structured light machine vision image recognition

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3rd Workshop on Video Analytics for Audience Measurement, VAAM 2016 and 2nd international Workshop on Face and Facial Expression recognition, FFER 2016

3rd Workshop on Video Analytics for Audience Measurement, VA...

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3rd Workshop on Video Analytics for Audience Measurement, VAAM 2016 and 2nd international Workshop on Face and Facial Expression recognition, FFER 2016

ISBN: (纸本)9783319566863

The proceedings contain 13 papers. The special focus in this conference is on Video Analytics for Audience Measurement, Face and Facial Expression recognition. The topics include: Person re-identification dataset with RGB-D camera in a top-view configuration;pervasive system for consumer behaviour analysis in retail environments;estimation of task difficulty and habituation effect while visual manipulation using pupillary response;robust probabilistic logo detection in broadcast videos for audience measurement;saliency prediction for visual regions of interest with applications in advertising;person invariant classification of subtle facial expressions using coded movement direction of keypoints;a two-directional two-dimensional PCA correlation filter in the phase only spectrum for face recognition in video;end to end deep learning for single step real-time facial expression recognition;comparative study of human age estimation based on hand-crafted and deep face features;pose-selective max pooling for measuring similarity;complementing SRCNN by transformed self-exemplars;human head pose estimation on SASE database using random Hough regression forests and spatio-temporal pain recognition in CNN-based super-resolved facial images.

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3rd international Doctoral Symposium on Applied Computation and Security Systems, ACSS 2016

3rd International Doctoral Symposium on Applied Computation ...

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3rd international Doctoral Symposium on Applied Computation and Security Systems, ACSS 2016

ISBN: (纸本)9789811033902

The proceedings contain 11 papers. The special focus in this conference is on Cloud, Service Management, High Performance Computing, Image Processing and pattern recognition. The topics include: A review on energy efficient resource management strategies for cloud;modeling and analysis of enterprise cloud bus using a petri net based approach;service provisioning in cloud;a systematic survey;software energy estimation to improve power efficiency of embedded system;ternary quantum circuit for color image representation;a graph-theoretic approach for visualization of data set feature association;a novel approach for human silhouette extraction from video data;statistical textural features for text-line level handwritten indic script identification;an approach to stroke-based online handwritten bangla character recognition and functional group prediction of un-annotated protein by exploiting its neighborhood analysis in saccharomyces cerevisiae protein interaction network.

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Computerized Analysis of Tongue Sub-lingual Veins to Detect Lung and Breast Cancers 3

Computerized Analysis of Tongue Sub-lingual Veins to Detect ...

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3rd IEEE international conference on Computer and Communications (ICCC)

作者： Chen, Feng Zhang, David Wu, Jian Zhang, Bob Harbin Inst Technol Shenzhen Grad Sch Sch Comp & Technol Shenzhen Peoples R China Univ Macau Dept Comp & Informat Sci Taipa Macau Peoples R China

ISBN: (纸本)9781509063529

Among all cancers, lung and breast can be attributed to a large number of deaths worldwide. Given the various inconveniences and risks associated with traditional diagnostic methods, efficient non-invasive detection approaches using computerized methods are needed. With recent advances in medical biometrics, particularly focusing on the analysis of facial and tongue images to detect various diseases, there is a lack of studies in tongue sub-lingual veins. Therefore, this paper will analyze tongue sub-lingual veins in order to distinguish those that are healthy from those that have cancer (either lung or breast). Tongue sub-lingual veins are first captured using a uniquely designed device. Segmentation is then carried out to separate the vein foreground pixels from its background. This facilitates feature extraction in the form of color and geometry. As for the last step, classification is performed. Experimental results on a dataset consisting of 628 healthy samples, 81 samples with lung cancer, and 147 with breast cancer yielded an average accuracy of 82.07% at healthy vs. lung cancer, and 79.23% at healthy vs. breast cancer, proving the effectiveness of the proposed method.

关键词： tongue sub-lingual veins color and geometry features cancer detection statistical pattern recognition medical biometrics

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AC Operation Hardware Neural Circuit and the Design of Deep Learning Model

AC Operation Hardware Neural Circuit and the Design of Deep ...

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2018 3rd international conference on Computer Science and Information Engineering(ICCSIE 2018)

作者： Masashi Kawaguchi Naohiro Ishii Masayoshi Umeno Department of Electrical & Electronic Engineering National Institute of TechnologySuzuka College Department of Information Science Aichi Institute of Technology Department of Electronic Engineering Chubu University

In the machine learning field,many application models such as pattern recognition or event prediction have been *** Network is typically basic methods of machine *** analog neural network models were composed of the additional circuit and solid *** circuit was realized by operational *** weights means the solid resistance of *** the reason of the resistance is fixed,changing resistance value and connecting weight is quite ***,in the case of using variable resistance,we have to adjust the resistance value by our *** this study,we used analog electronic circuits using alternative current to realize the neural network learning *** circuits are composed by a rectifier circuit,Voltage-Frequency converter,amplifier,subtract circuit,additional circuit and *** connecting weights describe the frequency,converted to direct current from alternating current by rectifier *** connection weights are able to changed easily compare with another hardware neural *** model's architecture is on the analog *** learning time and working time are very short because this system is not depending on clock ***,we suggest the realization of the deep learning model about proposed analog hardware neural circuit.

关键词： Analog electronic circuit neural network AC operation deep learning

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Further Analysis of Candlestick patterns' Predictive Power 1

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3rd international conference of Pioneering Computer Scientists, Engineers and Educators (ICPCSEE)

作者： Lv, Tao Hao, Yongtao Tongji Univ Coll Elect & Informat Engn Shanghai 200092 Peoples R China

ISBN: (数字)9789811063855

ISBN: (纸本)9789811063855;9789811063848

Since the candlestick patterns were mined, there is a contentious dispute on whether the candlestick patterns have predictive power in academia. To help resolve the debate, this paper uses the data mining methods of pattern recognition, pattern clustering and pattern knowledge mining to research the predictive power of candlestick patterns. In addition, we propose the similarity match model and nearest neighbor-clustering algorithm to solve the problem of similarity match and clustering of candlestick series, respectively. The experiment includes testing the predictive power of the Morning Star pattern and Evening Star pattern with the testing dataset of the candlestick series data of Shanghai 180 index component stocks over the latest 10 years. Experimental results show that (1) There have some spurious patterns in the existing candlestick patterns. However, after further classification of a spurious pattern based on its shape feature, those patterns with special shapes still have predictive power. (2) Some patterns do have the predictive power. (3) As there is no precise mathematical definition to describe the existing patterns' predictive power, it is essential to give the mathematical formula for improving the candlestick patterns' prediction performance.

关键词： Candlestick chart Candlestick series Candlestick pattern Similarity match Cluster

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