An intelligent system for container image recognition using ART2-based self-organizing supervised learning algorithm

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4247 LNCS, Issue , 2006, Pages 897-904

  Kim, Kwang Baek ^a   Woo, Young Woon ^b   Yang, Hwang Kyu ^c  

^a Silla University   (South Korea)

^b Dong Eui University   (South Korea)

^c Dongseo University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; FUZZY SETS; IMAGE PROCESSING; ITERATIVE METHODS; LEARNING ALGORITHMS; OPTIMIZATION;

AUTOMATIC RECOGNITION SYSTEM; NOISE DETECTION METHOD; PIXEL VALUE;

OBJECT RECOGNITION;

EID: 33751370778     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11903697_113     Document Type: Conference Paper

References (6)

1. ISO-6346, Freight Containers-Coding -Identification and Marking, (1995)
2. Kim, K. B.: Recognition of Identifiers from Shipping Container Images using Fuzzy Binarization and Neural Network with Enhanced Learning Algorithm. Applied Computational Intelligence. World Scientific (2004) 215-221
3. Nam, M. Y., Lim, E. K., Heo, N. S., Kim, K. B.: A Study on Character Recognition of Container Image using Brightness Variation and Canny Edge. Proceedings of Korea Multimedia Society 4(1) (2001) 111-115
4. Kim, N. B.: Character Segmentation from Shipping Container Image using Morphological Operation. Journal of Korea Multimedia Society 2(4) (1999) 390-399
5. Vogl, T. P., Mangis, J. K., Zigler, A. K., Zink, W. T., Alkon, D. L.: Accelerating the convergence of the backpropagation method. Biological Cybernetics 59 (1998) 256-264
6. Chen, Y. S., Hsu, W. H.: A systematic approach for designing 2-Subcycle and pseudo 1-Subcycle parallel thinning algorithms. Pattern Recognition 22(3) (1989) 267-282