Neural networks for vision and image processing
Neural networks for vision and image processing
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Image thresholding based on Ali-Silvey distance measures
Pattern Recognition
An enhanced fuzzy neural network
PDCAT'04 Proceedings of the 5th international conference on Parallel and Distributed Computing: applications and Technologies
Performance improvement of RBF network using ART2 algorithm and fuzzy logic system
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
A passport recognition and face verification using enhanced fuzzy neural network and PCA algorithm
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
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In this paper, we propose and evaluate a novel recognition algorithm for container identifiers that effectively overcomes these difficulties and recognizes identifiers from container images captured in various environments. The proposed algorithm, first, extracts the area containing only the identifiers from container images by using CANNY masking and bi-directional histogram method. The extracted identifier area is binarized by the fuzzy binarization method newly proposed in this paper. Then a contour tracking method is applied to the binarized area in order to extract the container identifiers, which are the target for recognition. This paper also proposes an enhanced fuzzy RBF network that adapts the enhanced fuzzy ART network for the middle layer. This network is applied to the recognition of individual codes. The results of experiment for performance evaluation on the real container images showed that the proposed algorithm performs better for extraction and recognition of container identifiers compared to conventional algorithms.