oalib

Publish in OALib Journal

ISSN: 2333-9721

APC: Only $99

Submit

Any time

2020 ( 57 )

2019 ( 288 )

2018 ( 377 )

2017 ( 377 )

Custom range...

Search Results: 1 - 10 of 209571 matches for " HEMANTHA KUMAR G "
All listed articles are free for downloading (OA Articles)
Page 1 /209571
Display every page Item
CANCELLABLE FACE BIOMETRICS USING IMAGE BLURRING
HEMANTHA KUMAR G. and MANOJ KRISHNASWAMY
International Journal of Machine Intelligence , 2011,
Abstract: Face is the most visible trait of a person. With increasing use of biometrics, there is a real threat for theconventional systems using face databases, which store images of users in raw and unaltered form. If compromised notonly it is irrevocable, but can also be misused for cross-matching across different databases. So it is desirable to generaterevocable templates for the same user in different applications to prevent cross-matching and to enhance security, whilemaintaining privacy and ethics. In this paper we propose a novel method to address those issues
Enhancing Template Security of Face Biometrics by Using Edge Detection and Hashing
Manoj Krishnaswamy,G. Hemantha Kumar
Computer Science , 2014,
Abstract: In this paper we address the issues of using edge detection techniques on facial images to produce cancellable biometric templates and a novel method for template verification against tampering. With increasing use of biometrics, there is a real threat for the conventional systems using face databases, which store images of users in raw and unaltered form. If compromised not only it is irrevocable, but can be misused for cross-matching across different databases. So it is desirable to generate and store revocable templates for the same user in different applications to prevent cross-matching and to enhance security, while maintaining privacy and ethics. By comparing different edge detection methods it has been observed that the edge detection based on the Roberts Cross operator performs consistently well across multiple face datasets, in which the face images have been taken under a variety of conditions. We have proposed a novel scheme using hashing, for extra verification, in order to harden the security of the stored biometric templates.
COMPARATIVE STUDY ON CLASSIFICATION OF ECG ARRHYTHMIA USING SINGLE CLASSIFIER AND ENSEMBLE OF CLASSIFIERS
VINAY K, HEMANTHA KUMAR G, PRIYADARSHINI T.S.
International Journal of Machine Intelligence , 2011,
Abstract: An electrocardiogram (ECG) is a bioelectrical signal which records the heart’s electrical activity versus time. The interpretation of ECG signal is an application of pattern recognition. The techniques used in this paper comprise: signal pre-processing, R peak detection, QRS reconstruction, RR interval detection, feature extraction and linear classifier model versus ensemble of classifier model. The processed signal source came from the Massachusetts Institute of Technology Beth Israel Hospital (MIT-BIH) arrhythmia database which was developed for research in cardiac electro-physiology. The results of recognition rates are compared to find a better structure for ECG classification. Among different classifier model, it was found that ensemble of classifier with DECORATE meta-learner model possessed the best performance with highest recognition rate of 90.36% for cardiac conditions and moderate level of agreement between computerized prediction and cardiologist interpretation. Based on this result, the method of using important ECG features plus a suitable ensemble of classifier model outperforms the single classifier model and which can increase the testing speed and the accuracy rate.
ACCURATE PERSON RECOGNITION ON COMBINING SIGNATURE AND FINGERPRINT
MOHAMMAD IMRAN, HEMANTHA KUMAR G, NOOR SARA JABEEN, FAHIMEH ALAEI
International Journal of Machine Intelligence , 2011,
Abstract: This paper is addressing the combination of physiological and behavioral biometrics. In this we adopted multimodal approach on combining signature and fingerprint biometrics using feature level fusion with different normalization techniques to improve the performance of multimodal system. Texture features are extracted for fingerprint, pen pressure, azimuth, and altitude features are extracted for signature. Thus, classification is done using K-NN and SVM classifiers; from experimental results of two classifiers shows that multimodal approach performs well by adopting robust feature normalization technique with suitable distance measures and kernels of classifiers
Skew Estimation Technique for Binary Document Images based on Thinning and Moments
Manjunath Aradhya V N,Hemantha Kumar G,Shivakumara P
Engineering Letters , 2007,
Abstract:
ANGLE-PROXIMITY BASED TEXT BLOCK VERIFICATION METHOD FOR TEXT DETECTION IN SCENE IMAGES
BASAVANNA M, SHIVAKUMARA P, SRIVATSA S.K, HEMANTHA KUMAR G.
International Journal of Machine Intelligence , 2011,
Abstract: Text block verification is important in enhancing the text detection accuracy in natural scene images because it is hard to develop general or objective heuristics to differentiate text and non-text block. In this paper, we propose new objective heuristics to verify the blocks detected by the text detection method based on angle information and proximity of the blocks. The angle for the detected block is computed using PCA to find the direction of the text block. In the same way, the proximity between pixels in the detected block is estimated to find closeness between pixels. Then the method combines these two heuristics to verify the text block to obtain a better result. We conduct experimental results on different databases to show that the performance of the text detection method increases in terms of recall, precision and f-measure with the text block verification methods. The database includes benchmark database ICDAR-2003 competition data, our own data captured by high resolution camera and captured by low resolution mobile camera.
Fault Diagnosis of Helical Gear Box using Large Margin K-Nearest Neighbors Classifier using Sound Signals
M. Amarnath,S. Arunav,Hemantha Kumar,V. Sugumaran,G. S Raghvendra
Computer Science , 2015,
Abstract: Gear drives are one of the most widely used transmission system in many machinery. Sound signals of a rotating machine contain the dynamic information about its health conditions. Not much information available in the literature reporting suitability of sound signals for fault diagnosis applications. Maximum numbers of literature are based on FFT (Fast Fourier Transform) analysis and have its own limitations with non-stationary signals like the ones from gears. In this paper, attempt has been made in using sound signals acquired from gears in good and simulated faulty conditions for the purpose of fault diagnosis through a machine learning approach. The descriptive statistical features were extracted from the acquired sound signals and the predominant features were selected using J48 decision tree technique. The selected features were then used for classification using Large Margin K-nearest neighbor approach. The paper also discusses the effect of various parameters on classification accuracy.
EFFECT OF MANJISTADI LEPA IN TRAUMATIC JOINT DISORDERS
Siddanagouda A Patil,Prasanna N Rao,Hemantha Kumar P
Journal of Ayurveda and Holistic Medicine , 2013,
Abstract: Among commonly occurring traumatic skeletal disorders, sprains and strains of ankle joint and inter-phalangeal joints are more prone. In all such conditions initial complaint of patients will be pain associated with swelling with or without deformity. These clinical conditions hamper the routine activities and also financial status of the individuals. Acharya Sushruta has advocated the application of Manjistadi lepa in traumatic joint injuries in chikitsa sthana which made me to undertake this work. The management of such traumatic disorders varies in allied sciences so, an attempt is made to assess the efficacy of non-invasive and OPD based management by Manjistadi lepa. Aims and Objectives: To evaluate the efficacy of Manjishtadi Lepa in traumatic joint disorders. Methods: In this observational study 25 patients selected from S D M College of Ayurveda & Hospital. Results: Among 25 patients of traumatized joint disorders, ankle joint was involved in 44 %, knee joint 12 %, interphalangeal 24 %, costochondral joints 12 % and wrist joint 08 % of patients. Conclusion: Manjistadi Lepa was found to be very beneficial in traumatic joint disorders due to strain and sprain was observed.
Photo-induced Magnetic Force Between Nanostructures
Caner Guclu,Venkata Ananth Tamma,Hemantha Kumar Wickramasinghe,Filippo Capolino
Physics , 2014,
Abstract: Photo-induced magnetic force between nanostructures, at optical frequencies, is investigated theoretically. Till now optical magnetic effects are not used in scanning probe microscopy because of the vanishing natural magnetism with increasing frequency. On the other hand, artificial magnetism in engineered nanostructures led to the development of measurable optical magnetism. Here, two examples of nanoprobes that are able to generate strong magnetic dipolar fields at optical frequency are investigated: first an ideal magnetically polarizable nanosphere and then a circular cluster of silver nanospheres that has a loop-like collective plasmonic resonance equivalent to a magnetic dipole. Magnetic forces are evaluated based on nanostructure polarizabilities, i.e. induced magnetic dipoles, and magnetic-near field evaluations. As an initial assessment on the possibility of a magnetic nanoprobe to detect magnetic forces, we consider two identical magnetically polarizable nanoprobes and observe magnetic forces in the order of piconewtons thereby bringing it within detection limits of conventional atomic force microscopes at ambient pressure and temperature. The detection of magnetic force is a promising method in studying optical magnetic transitions that can be the basis of innovative spectroscopy applications.
Microstrip Antennas Loaded with Shorting Post  [PDF]
Pradeep Kumar, G. Singh
Engineering (ENG) , 2009, DOI: 10.4236/eng.2009.11006
Abstract: In this paper, a technical review with recent advances of the microstrip antennas loaded with shorting posts is presented. The overall size of the antenna is significantly reduced by a single shorting posts and the effect of the various parameters of shorting posts on short-circuit microstrip antenna is also discussed.
Page 1 /209571
Display every page Item


Home
Copyright © 2008-2017 Open Access Library. All rights reserved.