[1]
D.S. Gao and J. Zhou, Car license plates detection from complex scene, in Proc. 5th Int. Conf. Signal Processing, vol. 2, p.1409– 1414, (2000).
DOI: 10.1109/icosp.2000.891808
Google Scholar
[2]
SherrZheng Wang and HsMian Lee, Detection and Recognition of License Plate Characters with Different Appearences, in proc. Conf. Intelligent Transportation Systems, vol. 2, p.979–984, (2003).
Google Scholar
[3]
Shyang-Lih Chang, Li-Shien Chen, Yun-Chung Chung, and Sei-Wan Chen, Automatic License Plate Recognition, IEEE Trans. on Intelligent Transportation Systems, vol. 5, pp.42-53, (2004).
DOI: 10.1109/tits.2004.825086
Google Scholar
[4]
Fatih Kahraman, Binnur Kurt, and Muhittin Gökmen, License Plate Character Segmentation Based on the Gabor Transform and Vector Quantization, Lecture Notes on Computer Science 2869, A. Yazici and C. Sener, Ed., Springer-Verlag, pp.381-388, (2003).
DOI: 10.1007/978-3-540-39737-3_48
Google Scholar
[5]
Tran Duc Duan, Tran Le Hong Du, Tran Vinh Phuoc, Nguyen Viet Hoang, Building an Automatic Vehicle License-Plate Recognition System, , in proc. Intl. Conf. in Computer Science (RIVF), pp.59-63, (2005).
Google Scholar
[6]
hing-Tang Hsieh, Yu-Shan Juan, Kuo-Ming Hung, Multiple License Plate Detection for Complex Background, in Proc. Int Conf. on Advanced Information Networking and Applications (AINA), vol. 2, pp.389-392, (2005).
DOI: 10.1109/aina.2005.257
Google Scholar
[7]
K.K. Kim K.I. Kim J.B. Kim H. J. Kim, Learning-Based Approach, for License Plate Recognition, in proc. IEEE Signal Processing Society Workshop, Neural Networks for Signal Processing, vol. 2, pp.614-623, (2000).
DOI: 10.1109/nnsp.2000.890140
Google Scholar
[8]
C. Anagnostopoulos, T. Alexandropoulos, S. Boutas, V. Loumos, E. Kayafas, A template-guided approach to vehicle surveillance and access control, in proc. IEEE Conf. on Advanced Video and Signal Based Surveillance, p.534–539, (2005).
DOI: 10.1109/avss.2005.1577325
Google Scholar
[9]
A. Steinberg, Problem-solving approach to data fusion, in: Proceedings of the International Conference on Information Fusion, pp. FrB2-17–26, (2001).
Google Scholar
[10]
C. Giraud, B. Jouvencel, Sensor selection in a fusion process: a fuzzy approach, in Proceedings of the IEEE Conference on Multisensor Fusion and Integration for Intelligent Systems, Las Vegas, p.599–606, NV, (1994).
DOI: 10.1109/mfi.1994.398399
Google Scholar
[11]
G.T. Capraro, R.A. Liuzzi, M.C. Wicks, Artificial Intelligence and Sensor Fusion, , in: Proc. of Int. Conf. On Integration of Knowledge Intensive Multi-Agent Syst., Cambridge, MA, p.591–595, (2003).
Google Scholar