Zhi-Jiang Xu, Sheng-Feng Yu, Hui Wang, Li-Min Meng and K.L. Du
Information Technology Journal, 2013, 12(1), 127-133.
License plate location is a critical part in the license plate detection and recognition system. It is sensitive to weather, illumination and the size of license plate. A variety of license plate location algorithms is proposed, which have limited adaptability. In order to resolve the above mentioned problem, this study improves the image preprocessing, image filtering and discrimination of pseudo-regions in 6 different algorithms based on the corner detection, on wavelet transform, on HSV color space, on RGB color space, on license plate texture and on the integrated features of license plate respectively. The experiments show that the improved algorithms have strong robust.
Information Technology Journal, 2020, 19(1), 1-11.Research on Preprocessing of Color Image for Vision based Mobile Robot Navigation
Information Technology Journal, 2011, 10(3), 597-601.
Advanced Materials Research, 2013, 816-817(), 527. DOI: 10.4028/www.scientific.net/AMR.816-817.527