All Outputs (2)

Segmentation and recognition of Korean vehicle license plate characters based on the global threshold method and the cross-correlation matching algorithm. (2016)
Journal Article
SARKER, M.M.K. and SONG, M.K. 2016. Segmentation and recognition of Korean vehicle license plate characters based on the global threshold method and the cross-correlation matching algorithm. Journal of information processing systems [online], 12(4), pages 661-680. Available from: https://doi.org/10.3745/JIPS.02.0050

The vehicle license plate recognition (VLPR) system analyzes and monitors the speed of vehicles, theft of vehicles, the violation of traffic rules, illegal parking, etc., on the motorway. The VLPR consists of three major parts: license plate detectio... Read More about Segmentation and recognition of Korean vehicle license plate characters based on the global threshold method and the cross-correlation matching algorithm..

A novel modified SFTA approach for feature extraction. (2016)
Conference Proceeding
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..