Browsing by Author "Saliny, N."

Browsing by Author "Saliny, N."

Sort by: Order: Results:

  • AUTOMATED FLOWER CLASSIFICATION USING HOG FEATURES 
    Saliny, N.; Kokul, T. (Faculty of Applied Science, 2020-12-02)
    Flower classification is an important task in many applications. Although, many flower classification frameworks have been proposed in the past, their accuracies are considerably low since intra-class variations of flowers ...
  • Deep Learning-Based Plant Identification in Sri Lanka 
    Chayanthithan, C.; Rajagopal; Bandara, P.R.D.N.; Farhana, M.F.F.; Dharmasiri, T.N.; Bandara, U.M.J.M.; Jayasekara, J.M.T.N.; Saliny, N.; Nirosi, P. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Sri Lanka is home to a diverse range of plant species, many of which play critical roles in agriculture, biodiversity conservation, and ecological balance. Traditional methods of plant identification are often manual, ...
  • Exploring the Biometric Potential of Fingerprints for Blood Group Identification: A Survey 
    Weerasinghe, W.D.; Banu, N.F.N.; Sewmini, A.R.M.N.; Venuja, N.; Saliny, N. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Successful identification of a blood type quickly and correctly is essential for patient centered care and emergency settings. Traditional methods could include technically invasive blood collection (e.g., fingerstick), ...
  • Impact of Hyper-parameter Optimization in Flower Classification through HOG features using Support Vector Machines 
    Saliny, N.; Rukshani, P. (ICSUSL, 2023-08-12)
    The flower classification is crucial. Pharmaceutics, cosmetics, Ayurvedic medicine, horticulture, botany, obtaining patents, and gardening are some of the areas which benefit greatly from the study of flower classification ...