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Dr Md Junayed Hasan's Outputs (43)

A new approach of iris detection and recognition. (2017)
Journal Article
BISWAS, R., UDDIN, J. and HASAN, M.J. 2017. A new approach of iris detection and recognition. International journal of electrical and computer engineering (IJECE) [online], 7(5), pages 2530-2536. Available from: http://doi.org/10.11591/ijece.v7i5.pp2530-2536

This paper proposes an IRIS recognition and detection model for measuring the e-security. This proposed model consists of the following blocks: Segmentation and normalization, feature encoding and feature extraction, and classification. In first phas... Read More about A new approach of iris detection and recognition..

ANLBF-GNS mapping: an automated feature extraction method. (2017)
Presentation / Conference Contribution
KIM, J., HASAN, M.J., KIM, C.-H. and KIM, J.-M. 2017. ANLBF-GNS mapping: an automated feature extraction method. In Arabnia, H.R., Deligiannidis, L. and Tinetti, F.G. (eds.). Proceedings of the 21st International conference on Image processing, computer vision, and pattern recognition (IPCV 2017), 17-20 July 2017, Las Vegas, Nev., USA. Las Vegas: CSREA Press, pages 119-122.

For refining the feature extraction performance and increasing the classification accuracy, we propose a model utilizing global neighborhood structure(GNS) map to calculate the number of feature vectors. Before computing the feature vector, an adapti... Read More about ANLBF-GNS mapping: an automated feature extraction method..

A novel modified SFTA approach for feature extraction. (2016)
Presentation / Conference Contribution
HASAN, M.J., UDDIN, J. and PINKU, S.N. 2016. A novel modified SFIA approach for feature extraction. In Proceedings of 3rd International conference on electrical engineering and information and communication technology 2016 (iCEEiCT 2016), 22-24 September 2016, Dhaka, Bangladesh. Piscataway: IEEE [online], article 7873115. Available from: https://doi.org/10.1109/CEEICT.2016.7873115

To increase the efficiency of conventional Segmentation Based Fractal Texture Analysis (SFTA), we propose a new approach on SFTA algorithm. We use an optimum multilevel thresholding hybrid method of Genetic Algorithm (GA) and Particle Swarm Optimizat... Read More about A novel modified SFTA approach for feature extraction..