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Towards Generating Irrevocable Key For Cryptography From Cancelable Fingerprints

Towards Generating Irrevocable Key For Cryptography From Can...

引用

2009 2nd IEEE International Conference on Computer Science and Information Technology（ICCSIT 2009）

作者： N.Lalithamani K.P.Soman Assistant Professor Department of Computer Science and Engineering AMRITA School of Engineering AMRITA Vishwa Vidyapeetham Professor & Head Centre for Excellence in Computational Engineering and Networking AMRITA Vishwa Vidyapeetham

The increasing immensity of identity theft in our society has resulted in the prioritization of dependable information security *** the fact that it is possible to bring about information security with the aid of a prevailing such as like cryptography,protecting the confidentiality of the cryptographic keys is one of the major issues to be *** is possible to effectively solve the issue by combining biometrics and ***,the improved performance of cryptographic key produced from biometrics in terms of protection has acquired massive reputation amid the researchers and ***,there is an enduring association amid the biometric and the user where in alteration is ***,the biometric is vanished eternally and probably for all the applications that apply it,when a compromise of the biometric identifier is *** might be resolved by building revocable biometric templates through cancelable ***,we have projected an approach to produce irrevocable cryptographic key from cancelable fingerprint templates,a process which proposed algorithm carries out in an efficient *** begin with,the fingerprints are utilized to extract the minutiae points that are altered,in an efficient manner so as to acquire transformed ***,the transformed points are used to produce the cancelable templates which are in turn utilized for the extraction of irrevocable *** is extremely unfeasible to obtain cancelable fingerprint templates and original fingerprints from the generated key since the cryptographic key produced is *** fingerprints accessible from open sources have been employed to assess the efficacy of our approach.

关键词： Biometrics Cancelable Biometrics Cryptography Biometric cryptosystems Key generation Irrevocable Key Fingerprint Minutiae Points.

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Improved Technique for the Construction of Parametric M-Band Wavelets

Improved Technique for the Construction of Parametric M-Band...

引用

International Conference on Advances in Recent Technologies in Communication and Computing, ARTCom

作者： R. Ramanathan K.P. Soman Department of Electronics & Communication Engineering Amrita Viswavidyapeetham University Coimbatore India Center for Excellence in Computational Engineering and Networking (CEN) Amrita Viswavidyapeetham University Coimbatore India

Demanding applications of wavelets in OFDM modulation, watermarking, cognitive radio and wireless networks has created an immense interest amongst the researchers to work on the design of good wavelet system. Parametric and M-band wavelets draw a special attention in this category. A commensurate procedure for constructing a superior M-band parametric wavelet system is proposed in this paper. The idea of modulation matrix decomposition and the relation with corresponding polyphase matrix and its factorization is exploited to possible extent to make the design process plain and easy. The appropriate polynomial matrix is put in place to extend the filter design to any required length. The simple property of the Kroneckor product of two matrices is contemplated to achieve M-band design. This paper ponders on the above-mentioned factors and accomplishes the task of designing an M-band parametric wavelet, which is complete in itself. Few examples are used to substantiate the proposed method.

关键词： Matrix decomposition Finite impulse response filter Wavelet analysis Frequency Computer networks Design engineering Electronic mail Signal processing Bandwidth Communications technology

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A Support Vector Machines Approach for Efficient Facial Expression Recognition

A Support Vector Machines Approach for Efficient Facial Expr...

引用

International Conference on Advances in Recent Technologies in Communication and Computing, ARTCom

作者： R. Ramanathan K.P. Soman Arun. S. Nair V. Vidhya Sagar N. Sriram Department of Electronics & Communication Engineering Amrita Viswavidyapeetham University Coimbatore India Center for Excellence in Computational Engineering and Networking (CEN) Amrita Viswavidyapeetham University Coimbatore India

Current scenario in computer vision demands an efficient and robust technique for facial expression recognition. There is also a need for a generalized technique that can even be used for content based image retrieval and analysis. This paper introduces a novel methodology of facial expression recognition using Support Vector Machines. An efficient model is trained and developed using the necessary features extracted by employing 2D Gabor filters. Practically, six different methods for handling the feature vectors are discussed and extensively analyzed in this paper. The developed model is tested and cross validated and the detailed results are presented. It is observed that the proposed method offers a consistent and good accuracy (83.3%) for all the six basic expressions considered. In addition, the implementation complexity is reduced by minimizing the number of support vectors, unlike the traditional counterparts. The proposed method shall definitely turn out to be an effective alternative for the existing methods.

关键词： Support vector machines Face recognition Computer vision Robustness Image retrieval Content based retrieval Image analysis Feature extraction Gabor filters Testing

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Investigation and Development of Methods to Solve Multi-Class Classification Problems

Investigation and Development of Methods to Solve Multi-Clas...

引用

International Conference on Advances in Recent Technologies in Communication and Computing, ARTCom

作者： R. Ramanathan K.P. Soman P.A. Rohini G. Dharshana Department of Electronics & Communication Engineering Amrita Viswavidyapeetham University Coimbatore India Center for Excellence in Computational Engineering and Networking (CEN) Amrita Viswavidyapeetham University Coimbatore India

Most of the classification problems frequently encounter a multi class predicament and offers a good scope for research. This paper has a comprehensive approach to the available multi-class technique using Artificial Neural Networks and then introduces a new algorithm to overcome the demerits of the former. In addition, a new algorithm combining ANN and chameleon clustering is suggested and validated. An SVM model for the above is also proposed and sufficiently tested with a typical example i.e. Image Segmentation. Also, the permutation effects prevailing in Half -against-Half multi class algorithm of SVM is efficiently tackled by developing an algorithm using ldquocircular shift strategyrdquo and employing the same. The use of clustering methods with SVM to improve its efficiency is also discussed. All the above mentioned models are extensively analyzed and the results are presented. It is found that the proposed method is an effective alternative for existing methods and offers consistent performance.

关键词： Image segmentation Clustering algorithms Artificial neural networks Neural networks Support vector machines Bifurcation Computer networks Electronic mail Image analysis Feeds

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REPRODUCIBILITY OF IMAGE-BASED computational HEMODYNAMICS IN INTRACRANIAL ANEURYSMS: COMPARISON OF CTA AND 3DRA

REPRODUCIBILITY OF IMAGE-BASED COMPUTATIONAL HEMODYNAMICS IN...

引用

IEEE International Symposium on Biomedical Imaging - From Nano to Macro

作者： Geers, A. J. Larrabide, I. Radaelli, A. G. Bogunovic, H. van Andel, H. A. F. Gratama Majoie, C. B. Frangi, A. F. Center for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB) Universitat Pompeu Fabra (UPF) Spain Networking Center on Biomedical Research (CIBER-BBN) Spain Institució Catalana de Recerca i Estudis Avançats (ICREA) Barcelona Spain Dept. of Biomedical Engineering and Physics Dept. of Radiology Academic Medical Center (AMC) University of Amsterdam (UvA) Amsterdam Netherlands

ISBN: (纸本)9781424439317

Hemodynamics play an important role in the pathogenesis of intracranial aneurysms and are believed to provide valuable information to predict aneurysmal rupture. Using image-based vascular models and computational fluid dynamics (CFD) techniques, the inter-aneurysmal hemodynamics can be studied in depth. In this paper, the effect of using different image-modalities is evaluated by investigating 4 middle cerebral arteries bifurcation aneurysms imaged with three-dimensional rotational angiography (3DRA) and computed tomographic angiography (CTA). The presented visualizations show that the main flow characteristics are preserved. However, there are large discrepancies in quantitative measurements.

关键词： intracranial aneurysm computational fluid dynamics 3D rotational angiography CT angiography

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Optical Character Recognition for English and Tamil Using Support Vector Machines

Optical Character Recognition for English and Tamil Using Su...

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International Conference on Advances in Computing, Control, & Telecommunication Technologies (ACT)

作者： R. Ramanathan S. Ponmathavan N. Valliappan L. Thaneshwaran A.S. Nair K.P. Soman Department of Electronics & Communication Engineering Amrita Viswavidyapeetham University Coimbatore India Amrita Vishwa Vidyapeetham Coimbatore Tamil Nadu IN Center of Excellence in Computational Engineering And Networking (CEN) Amrita Viswavidyapeetham University Coimbatore India

Optical character recognition is an evergreen area of research and is verily used in various real time applications. This paper proposes a new technique of optical character recognition using Gabor filters and support vector machines (SVM). This method proves to be very effective with the use of Gabor filters for feature extraction and SVM for developing the model. The model proposed is trained and validated for two languages - English and Tamil and the results are found to be very much encouraging. The model developed works for the entire character set in both the languages including symbols and numerals. In addition , the model can recognise the characters of six different fonts in English and Twelve different fonts in Tamil. The average accuracy of recognition for English is 97% and for Tamil it is 84%, which is achieved in just three iterations of training. The method can turn out to be a suitable candidate for future applications in this area.

关键词： Optical character recognition software Character recognition Support vector machines Gabor filters Support vector machine classification Feature extraction Optical filters Natural languages Optical computing Testing

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Robust Feature Extraction Technique for Optical Character Recognition

Robust Feature Extraction Technique for Optical Character Re...

引用

International Conference on Advances in Computing, Control, & Telecommunication Technologies (ACT)

作者： R. Ramanathan Arun S. Nair L. Thaneshwaran S. Ponmathavan N. Valliappan K.P. Soman Department of Electronics & Communication Engineering Amrita Vishwa Vidyapeetham Coimbatore India Amrita Vishwa Vidyapeetham Coimbatore Tamil Nadu IN Center for Excellence in Computational Engineering and Networking (CEN) Amrita Vishwa Vidyapeetham Coimbatore India

Optical character recognition (OCR) is a classical research field and has become one of most thriving applications in the field of pattern recognition. Feature extraction is a key step in the process of OCR, which in fact is a deciding factor of the accuracy of the system. This paper proposes a novel and robust technique for feature extraction using Gabor Filters, to be employed in the OCR. The use of 2D Gabor filters is investigated and features are extracted using these filters. The technique generally extracts fifty features based on global texture analysis and can be further extended to increase the number of features if necessary. The algorithm is well explained and is found that the proposed method demonstrated better performance in efficiency. In addition, experimental results show that the method gains high recognition rate and cost reasonable average running time.

关键词： Robustness Feature extraction Optical character recognition software Character recognition Gabor filters Face recognition Optical filters Image segmentation Pixel Streaming media

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Determination of Angle of Arrival using Nonlinear Support Vector Machine Regressors

Determination of Angle of Arrival using Nonlinear Support Ve...

引用

International Conference on Signal Processing, Communication and networking (ICSCN)

作者： N. Chithra Raj P.V. Aswathy Keerthy V. Sagar Computational Engineering and Networking Coimbatore Tamil Nadu India

A combination of optimization theory, statistical learning, and kernel theory labeled as "support vector machines" (SVMs) can be applied to electromagnetic problems. Recently, popular machine learning algorithms have successfully been applied to wireless communication problems, notably spread spectrum receiver design, channel equalization, and adaptive beam forming with direction of arrival estimation (DOA). The capacity of communication systems has limitations due to co channel interference. In code division multiple access (CDMA), users can share the same frequency at the same time, but the number of users is limited by the multi-user interference (MUI). This paper presents an implementation of determination of angle of arrival (AOA) estimation based on nonlinear SVM regressors (SVR), an important component of CDMA communication systems

关键词： Support vector machines Multiaccess communication Direction of arrival estimation Communication systems Interference Statistical learning Kernel Machine learning algorithms Wireless communication Spread spectrum communication

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Efficient classification and analysis of ischemic heart disease using proximal support vector machines based decision trees

Efficient classification and analysis of ischemic heart dise...

引用

IEEE Region 10 International Conference TENCON

作者： K.P. Soman D.M. Shyam P. Madhavdas Centre For Excellence in Computational Engineering and Networking (CEN) Amrita Vishwa Vidyapeetham (Amrita University) Coimbatore TN India

Ischemic heart disease (IHD) is one of the toughest challenges to doctors in-making right decisions due to its skimpy symptoms and complexity. We have analyzed IHD data from 65 patients to provide an aid for decision-making. Decision trees give potent structural information about the data and thereby serve as a powerful data mining tool. Support vector machines serve as excellent classifiers and predictors and can do so with high accuracy. Our tree based classifier uses non-linear proximal support vector machines (PSVM). The accuracy is very high (100% for training data) and the tree is small and precise.

关键词： Classification tree analysis Cardiac disease Support vector machines Support vector machine classification Decision trees Ischemic pain Cardiovascular diseases Magnetic heads Computer networks Data mining

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Dynamic right-sizing in FTP (drsFTP): Enhancing Grid performance in user-space

Dynamic right-sizing in FTP (drsFTP): Enhancing Grid perform...

引用

International Symposium on High Performance Distributed Computing

作者： M.K. Gardner Wu-chun Feng M. Fisk Research & Development in Advanced Network Technology (RADIANT) Computer & Computational Sciences Division Los Alamos National Laboratory Los Alamos NM USA Network Security Team Network Engineering Group Computing Communications & Networking Division Los Alamos National Laboratory Los Alamos NM USA

With the advent of computational grids, networking performance over the wide-area network (WAN) has become a critical component in the grid infrastructure. Unfortunately, many high-performance grid applications only use a small fraction of the available bandwidth because operating systems and their associated protocol stacks are still tuned for yesterdays WAN speeds. As a result, network gurus undertake the tedious process of manually, tuning system buffers to allow TCP flow control to scale to today's WAN grid environments. Although recent research has shown how to set the size of these system buffers automatically at connection set-up, the buffer sizes are only appropriate at the beginning of the connection's lifetime. To address these problems, we describe an automated and scalable technique called dynamic right-sizing. We implement this technique in user space (in particular for bulk-data transfer) so that end users do not have to modify the kernel to achieve a significant increase in throughput.

关键词： Wide area networks Computer networks Grid computing Bandwidth Operating systems Protocols Automatic control Control systems Kernel Throughput

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