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Handwritten and Printed Word Identification Using Gray-scale Feature Vector and Decision Tree Classifier

Procedia Technology 2013年 10卷 831-839页

作者： Samir Malakar Rahul Kumar Das Ram Sarkar Subhadip Basu Mita Nasipuri Deparment of Master of Computer Application MCKV Institute of Engineering Howrah India Department of Computer Science and Engineering Jadavpur University Jadavpur Kolkata India

Document image analysis is one of the important steps towards a paper free world. An effective Optical Character Recognition (OCR) system would be helpful for achieving this fit. But the next question may arise that whether a single OCR system will be sufficient for encoding both handwritten and printed text or not. So to come out of this dilemma, the work as reported here determines the category of a word from the document images containing words both in handwritten and printed forms. A 6- elements feature set is estimated from each gray level image and then these features are ranked based on discriminatory capabilities. Finally, a decision tree classifier has been designed and 1500 words images of handwritten and printed forms (equal in number) are fed to the classifier to evaluate the performance of the present technique. An overall success rate of 96.80% is achieved.

关键词： Handwritten and printed word classification decision tree classifier feature ranking gray-level feature vector

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Co-regularized ensemble for feature selection

Co-regularized ensemble for feature selection

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23rd International Joint Conference on Artificial Intelligence, IJCAI 2013

作者： Han, Yahong Yang, Yi Zhou, Xiaofang School of Computer Science and Technology Tianjin University China School of Information Technology and Electrical Engineering University of Queensland Australia Tianjin Key Laboratory of Cognitive Computing and Application China

ISBN: (纸本)9781577356332

Supervised feature selection determines feature relevance by evaluating feature's correlation with the classes. Joint minimization of a classifier's loss function and an 2;1-norm regularization has been shown to be effective for feature selection. However, the appropriate feature subset learned from different classifiers' loss function may be different. Less effort has been made on improving the performance of feature selection by the ensemble of different classifiers' criteria and take advantages of them. Furthermore, for the cases when only a few labeled data per class are available, overfitting would be a potential problem and the performance of each classifier is restrained. In this paper, we add a joint 2;1-norm on multiple feature selection matrices to ensemble different classifiers' loss function into a joint optimization framework. This added co-regularization term has twofold role in enhancing the effect of regularization for each criterion and uncovering common irrelevant features. The problem of over-fitting can be alleviated and thus the performance of feature selection is improved. Extensive experiment on different data types demonstrates the effectiveness of our algorithm.

关键词： Feature Selection

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Resource management for Hybrid 3.75G UMTS and 4G LTE cellular communications

Resource management for Hybrid 3.75G UMTS and 4G LTE cellula...

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5th FTRA International Conference on Information Technology Convergence and Services, ITCS 2013 and the 3rd International Conference on Intelligent Robotics, Automations, Telecommunication Facilities, and applications, IRoA 2013

作者： Chang, Ben-Jye Liang, Ying-Hsin Cao, Kai-Xiang Department of Computer Science and Information Engineering National Yunlin University of Science and Technology 123 University Road Douliou 64002 Yunlin Taiwan Department of Multimedia Animation and Application Nan Kai University of Technology Tianjin China

ISBN: (纸本)9789400769953

The UMTS and LTE/LTE-Advanced specifications have been proposed to offer high data rate for the forwarding link under high-mobility wireless communications. The keys include supporting multi-modes of various coding schemes (e.g., VSF-OFCDM, OFDM, OFDMA), multiple-input multiple-output, relay networks, etc. To balance loads among different communication interfaces is one of the most important issues that should be addressed for achieving efficient radio resource allocations. In a shared packet service, the 3GPP UMTS adopts the VSF-OFCDM interface to allocate orthogonal codes of an OVSF code tree in two-dimension (2D) spreading of the time and frequency domains. Conversely, although the LTE/LTE-Advanced interface offers a high data rate, it suffers from unbalanced loads and moderate reward. This paper thus proposes an adaptive radio resource allocation for balancing loads between the UMTS and LTE/LTE-Advanced interfaces according to various interference and mobility environments. Additionally, an adaptive multi-code allocation is proposed for the UMTS to minimize the bandwidth waste rate while guaranteeing quality of service. Numerical results indicate that the proposed approach outperforms other approaches in fractional reward loss and system utilization. © 2013 Springer science+Business Media Dordrecht.

关键词： Resource allocation

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Plus/Delta (+/Δ) evaluation to help organizations deliver projects effectively

Plus/Delta (+/Δ) evaluation to help organizations deliver p...

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4th International Conference on Networks and Communications, NetCom 2012

作者： Sastri, A. Pathanjali Rao, K. Nageswara Department of Computer Application V.R.Siddhartha Engineering College Kanuru Vijayawada Andhra Pradesh 520 007 India Department of Computer Science and Engineering P.V.P.Siddhartha Institute of Technology Kanuru Vijayawada Andhra Pradesh 520 007 India

ISBN: (纸本)9781461461531

One of the most serious complaints against software failure is the inability to estimate with acceptable accuracy the cost, resources, and schedule necessary for a software project [1]. The less visible one is the underwater part representing poor quality resulting in significant rework, cost overrun due to high rework and idle times, and customer dissatisfaction [2]. IT projects fail for various reasons and whatever the reason, the project manager has to face a frustrated customer, a displeased senior management, and a project team who think they just wasted a lot of time. The objective of this research paper is to develop an investigation model by building a rich picture of how different project stakeholders perceive the quality of software engineering processes, identify the methods and techniques for supporting the job of Software Engineers and Project Managers and propose improvements to these methods that have a wider view of process quality. © 2013 Springer science+Business Media.

关键词： Project management

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Study of Cluster Based Approach and Security Query Routing in Peer to-Peer Networks

Study of Cluster Based Approach and Security Query Routing i...

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作者： Arivazhagu. U.V Srinivasan .S Sathyabama University Department of Computer Science & Engineering and Department of Computer Application Anna University of Technology

In Peer-to-Peer network, the previous work does not concentrate more on availability of nodes and peer status for searching the queries. Query routing process can be guaranteed to allow the resources in a secured way. Hence in this paper,we propose a study of cluster based approach and security query routing in peer to peer *** a node with high score value is selected as a cluster head. Query processing and routing can be done with all the elected cluster head. This paper explains how the query routing process can be done effectively and efficiently in a secured manner.

关键词： Clustering approach, Query Processing, Query Routing, Security management.

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Adaptive video super-resolution based on superpixel-guided auto-regressive model

Adaptive video super-resolution based on superpixel-guided a...

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14th Pacific-Rim Conference on Multimedia, PCM 2013

作者： Zhu, Yanming Li, Kun Jiang, Jianmin Yang, Jingyu Tianjin Key Laboratory of Cognitive Computing and Application School of Computer Science and Technology Tianjin University Tianjin 300072 China School of Electronic Information Engineering Tianjin University Tianjin 300072 China

ISBN: (纸本)9783319037301

This paper proposes an adaptive video super-resolution (SR) method based on superpixel-guided auto-regressive (AR) model. The keyframes are automatically selected and super-resolved by a sparse regression method. The non-key-frames are super-resolved by simultaneously exploiting the spatiotemporal correlations: The temporal correlation is exploited by a GPU-based optical flow method while the spatial correlation is modelled by a superpixel-guided AR model. Experimental results show that the proposed method outperforms the existing benchmark in terms of both subjective visual quality and objective peak-to-peak signal-to-noise ratio (PSNR). At the same time, the running time of the proposed method is the shortest in comparison with the state-of-the-art methods, which makes the proposed method suitable for practical applications. © Springer International Publishing Switzerland 2013.

关键词： Superpixels

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Long-term hemispheric variation of the flare index

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Research in Astronomy and Astrophysics 2013年第3期13卷 343-350页

作者： Song Feng Lin-Hua Deng Shi-Chun Xu Computer Technology Application Key Lab of Yunnan Province and Faculty of Information Engineering and Automation Kunming University of Science and Technology Key Laboratory of Solar Activity National Astronomical Observatories Chinese Academy of Sciences National Astronomical Observatories / Yunnan Astronomical Observatory Chinese Academy of Sciences University of Chinese Academy of Sciences Kunming Institute of Physics

The long-term hemispheric variation of the flare index is investigated. It is found that, （1） the phase difference of the flare index between the northern and southern hemispheres is about 6-7 months, which is near the time delay between flare activity and sunspot activity; （2） both the dominant and phase-leading hemisphere of the flare index is the northern hemisphere in the considered time interval, implying that the hemispheric asynchrony of solar activity has a close connection with the N-S asymmetry of solar activity.

关键词： Sun： activity -- Sun： flares -- methods： data analysis

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Clustering in wireless sensor networks: Performance comparison of EAMMH and LEACH protocols using MATLAB

Clustering in wireless sensor networks: Performance comparis...

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2013 International Conference on MEMS and Mechanics, MEMSM 2013

作者： Mundada, Monica R. Thimmegowda, Nishanth Bhuvaneswari, T. Cyrilraj, V. Dr M G R University Chennai India Dept of Computer Science and Engineering MSRIT Bangalore India Dept of computer Application L N Govt College Ponneri India Dept of CSE and IT Dr M G R University Chennai India

ISBN: (纸本)9783037856994

Conservation of the energy available in each sensor node and increasing network lifetime are most important design issues for a wireless sensor network (WSN). Many routing algorithms have been developed in this regard. Out of all these, clustering algorithms have gained a lot of importance in increasing the network lifetime thereby the efficiency of the nodes in it. Clustering provides an effective way for prolonging the lifetime of WSN. This paper elaborately compares the two renowned routing protocols namely, LEACH and EAMMH supported by simulations scenarios, and analysis of the results against known metrics with energy and network lifetime being major among them. © (2013) Trans Tech Publications, Switzerland.

关键词： Sensor nodes

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A Hilbert-based framework for preserving privacy in location-based services

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International Journal of Intelligent Information and Database Systems 2013年第2期7卷 113-134页

作者： To, Quoc Cuong Dang, Tran Khanh Küng, Josef Faculty of Computer Science and Engineering Ho Chi Minh City University of Technology 268 Ly Thuong Kiet street District 10 Ho Chi Minh City Viet Nam Institute of Application Oriented Knowledge Processing Johannes Kepler University Linz Altenberger Straße 69 A-4040 Linz Austria

Preserving user's privacy has recently drawn special attention in the field of location-based services and many techniques such as k-anonymity or obfuscation have been suggested to protect user's privacy. All of these traditional techniques are, however, geometry-based and separated from the database level. This separation causes the query processing to involve in two phases, querying the database to retrieve the exact locations of users and then modifying them to decrease the quality of this information. This two-phase process is time-consuming due to the number of disk accesses required to retrieve the user's exact location. Also, these geometry-based techniques cannot guarantee location privacy when the adversary gains knowledge about the geography of the obfuscated region. We address these problems by proposing Hilbert-based framework for preserving user's privacy and Bob-tree for supporting geographic-aware obfuscation. Experiments and analyses show that this framework provides a significant improvement over the algorithm separated from the database level for both query processing time and location privacy protection. Copyright © 2013 Inderscience Enterprises Ltd.

关键词： Location based services

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Data mining techniques used for uterus fibroid diagnosis and prognosis

Data mining techniques used for uterus fibroid diagnosis and...

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International Multi-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s)

作者： D. K Girija M. S. Shashidhara Department of Computer Science Government First Grade College Pavagada Tumkur Dist Department of Computer Application(MCA) Oxford College of Engineering Bangalore India Department of Computer Application(MCA) The Oxford College of Engineering Bangalore

The availability of massive amounts of medical data leads to the requirement for powerful data analysis tools to extract useful knowledge. Researchers have long been committed applying statistical and data processing tools to spice up data analysis on large data sets. Health problem identification is one in every of the applications where data mining tools are proving flourishing results. Uterus Fibroid diagnosis and Prognosis square measure two medical applications cause a good challenge to the researchers. The employment of machine learning and method techniques has revolutionized the entire process of Fibroid diagnosis and Prognosis. The diagnosis of fibroid present within the different parts of the female internal reproductive organ distinguishes it's eliminated or detain the female internal reproductive organ. Fibroid Prognosis predicts once Fibroid is probably going to recur in patients that have had their cancers excised. Thus, these two issues are mainly within the scope of the classification issues. This study paper summarizes numerous data mining techniques, review and technical articles on Fibroid diagnosis and prognosis. During this paper we tend to present an outline of the present research being carried out using the data mining techniques to reinforce the Fibroid diagnosis and prognosis.

关键词： Data mining Classification algorithms Prognostics and health management Biological systems Prediction algorithms Accuracy Medical services

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