Abstract
Automatic Vehicle Identification using license plate image is having versatile range of applications. It includes traffic law enforcement, toll fee collection, tracking the vehicle’s route. It is more challenging to automate the identification of Indian vehicles by using it’s number plates. The font type and font size of the letters used randomly, the dealer’s logo or other artefacts may be available on the plate. In this proposed algorithm it is emphasise on extraction of the number plate irrespective of the angular inclination of the image i.e. extraction of region of interest (ROI) and removal of the additional artefacts then the character image segmentation followed by character recognition. The character recognition is done using correlation coefficient matching. The system is adaptive to the new fonts or regional characters by extended training set.
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Palai, C., Jena, P.K. (2015). Automatic Vehicle Identification: LPR with Enhanced Noise Removal Technique. In: Jain, L., Behera, H., Mandal, J., Mohapatra, D. (eds) Computational Intelligence in Data Mining - Volume 1. Smart Innovation, Systems and Technologies, vol 31. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2205-7_14
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DOI: https://doi.org/10.1007/978-81-322-2205-7_14
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