Computer Science: Recent submissions

  • Compact Codebook Design for Visual Scene Recognition by Sequential Input Space Carving 
    Barathy, Ganesharajah; Mahesan, Sinnathamby; Pinidiyaarachchi, U.A.J. (IEEE, 2013-09-25)
    We present a novel approach to the design of codebooks in patch-based, bag-of-feature visual scene recognition problems. The Sequential Input Space Carving (SISC) approach we present achieves compact codebooks in a fraction ...
  • Content Based Image Retrieval: An overview of structure of the image and image database 
    Barathy, Ganesharajah; Mahesan, Sinnathamby; Pinidiyaarachchi, U.A.J. (SLIIT, 2011-01-27)
    There are a number of challenging problems in Content Based Image Retrieval (CBIR) particularly on structure of the image and image database. Separating an image into its constituent parts is a major task in this area. In ...
  • A Morphological and Gradient based Approach to Classify Plant Leaves Using Support Vector Machines 
    Kobikrishna, P.; Ramanan, A. (iPURSE, 2015-11-06)
    Plants are an important resource for human well-being. Plant recognition is very essential in agriculture for the management of plant types whereas botanists can use this application for medicinal purposes. Leaves of ...
  • Online Multi-Person Tracking-by-Detection Method Using ACF and Particle Filter 
    Kokul, T.; Ramanan, A.; Pinidiyaarachchi, U.A.J. (IEEE, 2015-12-12)
    Automatically detecting and tracking multiple persons in videos is one of the main research interest in computer vision based applications. This paper presents a tracking-by-detection approach for tracking people in dynamic ...
  • A Pre-processing Method for Printed Tamil Documents: Skew Correction and Textual Classification 
    Ramanan, M.; Ramanan, A.; Charles Eugene, Y. (IEEE, 2015-12-12)
    An Optical character recognition (OCR) consists of the phases: preprocessing and segmentation, feature extraction, classification and post-processing. This paper focuses on pre-processing and segmentation tasks which plays ...
  • Creating Compact and Discriminative Visual Vocabularies using Visual Bits 
    Kirishanthy, T.; Ramanan, A. (IEEE, 2015-11-24)
    In a patch-based object recognition system the key role of a visual vocabulary is to provide a way to map the low-level features into a fixed-length vector in histogram space to which standard classifiers can be directly ...
  • Front-view Car Detection using Vocabulary Voting and Mean-Shift Search 
    Sotheeswaran, S.; Ramanan, A. (IEEE, 2015-08-25)
    Vehicle detection has received much attention over the recent years. In this paper we mainly address on the detection of cars in front-view static images and focus on local features that describe structural characteristics ...
  • A Hybrid Decision Tree for Printed Tamil Character Recognition Using SVMs 
    Ramanan, M.; Ramanan, A.; Charles Eugene Y. (IEEE, 2015-08-25)
    Optical character recognition (OCR) is one of the important research areas in image processing and pattern recognition. OCR for printed Tamil text is considered as a challenging problem due to the large number of (i.e., ...
  • A Classifier-Free Codebook-based Image Classification of Vehicle Logos 
    Sotheeswaran, S.; Ramanan, A. (IEEE, 2014-12-15)
    Logo identification and classification have received considerable attention from both the machine learning and computer vision communities. Vehicle logo recognition (VLR) is used to recognise accurately the manufacturer ...
  • A Performance Comparison and Post-processing Error Correction Technique to OCRs for Printed Tamil Texts 
    Ramanan, M.; Ramanan, A.; Charles Eugene, Y. (IEEE, 2014-12-15)
    Optical Character Recognition (OCR) deals with automated recognition of characters that are in the format of digital image. OCR refers to the process by which scanned images are electronically processed and converted to ...
  • One-Pass Clustering Superpixels 
    Kesavan, Y.; Ramanan, A. (IEEE, 2014-12-22)
    A superpixel is an image patch which is better aligned with intensity edges than a rectangular patch. Superpixels are perceptually consistent units which carry more information than pixels and adhere well to image boundaries. ...
  • Image Classification of Paddy Field Insect Pests using Gradient-based Features 
    Venugoban, K.; Ramanan, A. (International Journal of Machine Learning and Computing, 2014-02)
    Agriculture is one of the principal economic activities of the Jaffna peninsula in the Northern Province of Sri Lanka. Over 60% of the work force in the peninsula depends on agriculture for their livelihood. Paddy cultivation ...
  • A Wheel-based Side-view Car Detection using Snake Algorithm 
    Vinoharan, V.; Ramanan, A.; Kodituwakku, S. R. (IEEE, 2012-09-27)
    Car detection is a challenging research area where the appearance has various changes due to different models, poses, scales, lighting conditions, background, occlusion and various image sizes. Amidst these external ...
  • Single Image Fog Removal based on Fusion Strategy 
    Thulasika, V.; Ramanan, A. (AIRCC, 2015-07-25)
    Images of outdoor scenes are degraded by absorption and scattering by the suspended particles and water droplets in the atmosphere. The light coming from a scene towards the camera is attenuated by fog and is blended with ...
  • Bag-of-keypoints approach for Tamil handwritten character recognition using SVMs 
    Subashini, A.; Kodikara, N.D. (IEEE, 2011-09-01)
    In this paper, the bag-of-keypoints approach for the off-line recognition of Tamil handwritten characters is investigated. Various pre-processing operations are performed on the digitised image to enhance the quality of ...
  • A novel SIFT-based codebook generation for handwritten Tamil character recognition 
    Subashini, A.; Kodikara, N.D. (IEEE, 2011-08-16)
    A method for the off-line recognition of Tamil handwriting characters based on local feature extraction is investigated. In the proposed method each pre-processed character is represented by a set of local SIFT feature ...
  • Tamil Localisation Process – A case study 
    Sarveswaran, K.; Gihan, G. (2009)
    Localisation has become an active area in computer field and many organisations and individuals are localising software into their preferred languages. Different people use different localisation processes to do localisation. ...
  • Challenges in developing MIS – Case from Government sector 
    Sarveswaran, K.; Perera, P.; Samudaya, N.; Asoka, P.; Fernando, P. (2006)
    Management Information Systems (MISs) are used to manage the processes, people, resources, finance, technologies and services of an organisation. An MIS has been developed continuously since 2007 at the University of ...
  • Scalable fault tolerant architecture for complex event processing systems 
    Randika, H.C.; Martin, H.E.; Sampath, D.M.R.R.; Metihakwala, D.S.; Sarveswaran, K.; Wijekoon, M. (IEEE, 2010-10)
    Complex Event Processing (CEP) is one of the fastest emerging fields in computer science. Modern CEP systems which are critical for organizations to maintain their business processes and to achieve excellence through ...
  • A SUCCESSFUL GROWTH OF THE E-LEARNING SYSTEM AT UNIVERSITY OF MORATUAWA 
    Sarveswaran, K.; Perera, G.I.U.S.; Fernando, M.S.D. (Department of Computer Science & Engineering, 2002)
    A successful e-Learning system primarily consists of a Learning Management system and a Content Management system. A Learning Management System addresses the user administration and related managerial requirements. This ...