A new automatic extraction method of container identity codes

IEEE Transactions on Intelligent Transportation Systems

Volumn 6, Issue 1, 2005, Pages 72-78

  He, Zhiwei ^a   Liu, Juin ^a   Ma, Hongqing ^a   Li, Peihong ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Container identity code; Image processing; Template matching

Indexed keywords

ALGORITHMS; CHARACTER RECOGNITION; CODES (SYMBOLS); IMAGE SEGMENTATION; NOISE ABATEMENT; NONLINEAR FILTERING; PATTERN RECOGNITION SYSTEMS; REGRESSION ANALYSIS; STANDARDS;

AUTOREGRESSION; CONTAINER IDENTITY CODE; TEMPLATE MATCHING; VERTICAL PROJECTION;

FEATURE EXTRACTION;

EID: 15244357869     PISSN: 15249050     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITS.2004.838509     Document Type: Conference Paper

References (20)

1. R. Mullot et al., "Automatic extraction methods of container identity numbers and registration plates of cars," Proc. Annu. Conf. IEEE Industrial Electronics (IECON'91), vol. 3, pp. 1729-1744, Oct. 1991.
2. R. C. Gonzalez and R. E. Woods, Digital Image Processing, Reading, MA: Addison-Wesley, 1993.
3. R. G. Casey and E. Lecolinet, "A survey of methods and strategies in character segmentation," IEEE Trans. Pattern Anal. Machine Intell., vol. 18, pp. 690-706, July 1996.
4. D. Yan, M. Hongqing, L. Jilin, and L. Langang, "A high performance license plate recognition system based on web technique," in Proc. IEEE Intelligent Transportation Systems Conf., Oakland, CA, Aug. 2001, pp. 325-329.
5. Freight Containers - Coding, Identification, and Marking, 1995. ISO 6346.
6. K. Suzuki, I. Horiba, and N. Sugie, "Neural edge enhancer for supervised edge enhancement from noisy images," IEEE Trans. Pattern Anal. Machine Intell., vol. 25, pp. 1582-1596, Dec. 2003.
7. Y. Hawwar and A. Reza, "Spatially adaptive multiplicative noise image denoising technique," IEEE Trans. Image Processing, vol. 11, pp. 1397-1404, Dec. 2002.
8. P. Soille, Morphological Image Analysis: Principles and Applications. Berlin, Germany: Springer-Verlag, 1999.
9. S. U. Lee and S. Y. Chung, "A comparative performance study of several global thresholding techniques for segmentation," Comput. Vis., Graph., Image Process., vol. 52, pp. 171-190, 1990.
10. J. Kittler and J. Illingworth, "On threshold selection using clustering criteria," IEEE Trans. Syst., Man, Cybern., vol. SMC-15, pp. 652-655, Sept/Oct. 1985.
11. _, "Minimum error thresholding," Pattern Recognit., vol. 19, no. 1, pp. 41-47, 1986.
12. J. W. Tukey, "Nonlinear (nonsuperposable) methods for smoothing data," in Proc. Congr. Rec. Electronics and Aerospace Systems Com. (EASCON74), 1974, p. 673.
13. J. D. Foley, A. van Dam, S. K. Feiner, and J. F. Hughes, "Illumination and shading," in Computer Graphics Principles and Practice. Reading, MA: Addison-Wesley, 1990, pp. 563-603.
14. D.-S. Kim and S.-I. Chien, "Automatic car license plate extraction using modified generalized symmetry transform and image warping," in Proc. IEEE Int. Symp. Industrial Electronics (ISIE'01), vol. 3, June 2001, pp. 2022-2027.
15. Y. Zhang and C. Zhang, "A new algorithm for character segmentation of license plate," in Proc. IEEE Intelligent Vehicles Symp., June 2003, pp. 106-109.
16. D. Van De Ville et al., "Noise reduction by fuzzy image filtering," IEEE Trans. Fuzzy Syst., vol. 11, pp. 429-436, Aug. 2003.
17. F. Voci, S. Eiho, N. Sugimoto, and H. Sekibuchi, "Estimating the gradient in the perona-malik equation," IEEE Signal Processing Mag., vol. 21, pp. 39-65, May 2004.
18. I. S. Igual, G. A. Garcia, and A. P. Jimenez, "Preprocessing and recognition of characters in container codes," in Proc. 16th Int. Conf. Pattern Recognition, vol. 3, Aug. 2002, pp. 143-146.
19. K.-W. Wan et al., "An integrated multiple neural network architecture for reading alphanumeric characters in complex scenes," in IEEE Int. Conf. Neutral Networks, vol. 7, 1994, pp. 4384-4389.
20. M. Goccia, M. Bruzzo, C. Scagliola, and S. Dellepiane, "Recognition of container code characters through gray-level feature extraction and gradient-based classifier optimization," in Proc. 7th Int. Conf. Document Analysis and Recognition, Aug. 2003, pp. 973-977.