TY - GEN
T1 - A novel car plate verification with adaptive binarization method
AU - Tan, Hua Chun
AU - Chen, Hao
PY - 2008
Y1 - 2008
N2 - A novel candidate verification algorithm for plate license localization is proposed in this paper. In the new method, auto-correlation curve, projection properties and character position features based on candidate binary image are combined together to verify the candidates. To improve the performance of verification, Otsu's method, Bersen method and Niblack method with post process are adaptive chosen to binarize images in different illumination. Experimental results show the efficiency of proposed method.
AB - A novel candidate verification algorithm for plate license localization is proposed in this paper. In the new method, auto-correlation curve, projection properties and character position features based on candidate binary image are combined together to verify the candidates. To improve the performance of verification, Otsu's method, Bersen method and Niblack method with post process are adaptive chosen to binarize images in different illumination. Experimental results show the efficiency of proposed method.
KW - Auto-correlation
KW - Candidate verification
KW - Image binarization
KW - License plate extraction
KW - Projection
UR - http://www.scopus.com/inward/record.url?scp=57749121675&partnerID=8YFLogxK
U2 - 10.1109/ICMLC.2008.4621108
DO - 10.1109/ICMLC.2008.4621108
M3 - Conference contribution
AN - SCOPUS:57749121675
SN - 9781424420964
T3 - Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC
SP - 4034
EP - 4039
BT - Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC
T2 - 7th International Conference on Machine Learning and Cybernetics, ICMLC
Y2 - 12 July 2008 through 15 July 2008
ER -