Browsing by Author "Saliny, N."

Browsing by Author "Saliny, N."

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  • An Advanced Non-Invasive Blood Group Detection Using Fingerprint Biometrics: A Deep Learning Approach 
    Weerasinghe, W.D.; Banu, N.F.N.; Sewmini, A.R.M.N.; Venuja, N.; Saliny, N. (Korea Database Strategy Society (KDSS), 2026)
    The correct blood group is important in healthcare, forensics and emergency care, but traditional approaches are invasive and can only be applied in laboratory facilities with trained personnel, which is not applicable ...
  • 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 ...