Publications

■ Susara S. Thenuwara, Chinthaka Premachandra, Hiroharu Kawanaka (2022), A multi-agent-based enhancement for multimodal biometric system at border control, Array Volume 14, July 2022, 100171 https://doi.org/10.1016/j.array.2022.100171

■ "A multi-agent-based enhancement for multimodal biometric system at border control," was published in the Array journal in 2022. This paper proposes a multi-agent system for improving the performance of a multimodal biometric system used at border control. The system uses face and ear images to identify travelers, and the proposed approach involves the use of multiple agents with different responsibilities to improve the accuracy and speed of the identification process.

■ Susara S. Thenuwara, Chinthaka Premachandra, Hiroharu Kawanaka (2022), Border Control by Multi-biometric Identification using Face and Ear images. 2nd International Conference on Image Processing and Robotics (ICIPROB) IEEE

■ "Border Control by Multi-biometric Identification using Face and Ear images," was presented at the 2nd International Conference on Image Processing and Robotics (ICIPROB) in 2022. This paper also focuses on using face and ear images for biometric identification at border control, but the approach involves a multi-biometric system that combines multiple modalities to improve accuracy.

■ S. S. Thenuwara, C. Premachandra and S. Sumathipala, "Hybrid Approach to Face Recognition System using PCA & LDA in Border Control," 2019 National Information Technology Conference (NITC), Colombo, Sri Lanka, 2019, pp. 9-15, doi: 10.1109/NITC48475.2019.9114426.

■ "Hybrid Approach to Face Recognition System using PCA & LDA in Border Control," was presented at the National Information Technology Conference in Sri Lanka in 2019. This paper proposes a hybrid approach to face recognition using principal component analysis (PCA) and linear discriminant analysis (LDA). The approach is intended for use in border control systems and aims to improve the accuracy of identification.

■ SS Thenuwara; A. S. Karunananda., (2019), Multi-Agent Approach to Face Recognition in Border Control, The 12th International Research Conference General Sir Kotelawala Defence, Sri Lanka

■ "Multi-Agent Approach to Face Recognition in Border Control," was presented at the 12th International Research Conference General Sir Kotelawala Defence in Sri Lanka in 2019. This paper proposes a multi-agent approach to face recognition in border control, similar to the first publication listed. The paper proposes an architecture for a multi-agent system and evaluates the performance of the system using simulations.

■ Susara S Thenuwara; R. A. R. C. Gopura, (2019), Fuzzy Logic-based Approach for Back Analysis of VISA Granting Process, 3rd SLAAI-International Conference on Artificial Intelligence,

"Fuzzy Logic-based Approach for Back Analysis of VISA Granting Process," was presented at the 3rd SLAAI-International Conference on Artificial Intelligence in Sri Lanka in 2019. This paper proposes a fuzzy logic-based approach to analyzing the visa granting process, which can be used to improve the accuracy and efficiency of the process in border control systems.

■ S. S. Thenuwara, C. Premachandra and Hiroharu Kawanaka , " Border Control by Multi-biometric Identification using Face and Ear images ," International Conference on image processing and robotics (ICIPRoB2022) Japan, 2022.

Overall, these publications focus on improving the accuracy and efficiency of biometric identification systems used in border control through the use of various approaches and technologies.