Optimal Structuring Elements for the Morphological Pattern Restoration of Binary Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining Statistical Measures to Find Image Text Regions
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Machine Vision
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Neural Networks: A Comprehensive Foundation (3rd Edition)
Neural Networks: A Comprehensive Foundation (3rd Edition)
Vehicle number plate recognition using hybrid mathematical morphological techniques
SIP'08 Proceedings of the 7th WSEAS International Conference on Signal Processing
UIT-ANPR: toward an open framework for automatic number plate recognition on smartphones
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
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This paper presents a method for recognition of the vehicle number plate from the image using neural nets and mathematical morphology. The main theme is to use different morphological operations in such a way so that the number plate of the vehicle can be extracted efficiently. The method makes the extraction of the plate independent of color, size and location of number plate. The proposed approach can be divided into simple processes, which are, image enhancement, morphing transformation, morphological gradient, combination of resultant images and extracting the number plate from the objects that are left in the image. Then segmentation is applied to recognize the plate using neural network. This algorithm can quickly and correctly recognize the number plate from the vehicle image.