Indian Journal of Science and Technology
Year: 2017, Volume: 10, Issue: 4, Pages: 1-4
K. Kiran Kumar* , V. Sailaja, Sk. Khadheer and K. Viswajith
*Author for the correspondence:
K. Kiran Kumar
Department of Electronics and Computer Engineering, KL University, Vaddeswaram, Guntur - 522502, Andhra Pradesh, India; [email protected]
Objectives: To develop a well-organised system in the vehicle number plate detection. Methods: The major techniques used in the implementation of the designs are gray scale conversion, black and white image conversion, filling holes, border detection and image segmentation. This is helpful to easily detect the license plate and identify the vehicle details. This is implemented on the real images. Findings: This algorithm provides overall accuracy and the average processing time with the images processing during day and night. This system works well in different illumination conditions. Applications: This system can be used for Indian roads scenario since there is no proper lane marking system and there is always a chance to get many disturbances in the images. This technique is applicable mainly at different restricted areas and highly confidential areas.
Keywords: Black and White, Gray Scale, Image Segmentation, Image Processing, Recognition
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