This paper is published in Volume-7, Issue-4, 2021
Area
Computer Science Engineering
Author
Adithya M., Sumitha B. S., Rahul K., Nitish Kumar P., Pramod G. N.
Org/Univ
Atria Institute of Technology, Bengaluru, Karnataka, India
Keywords
Contours, Morphological Operations, Character segmentation, Convolutional Neural Network, Character recognition, Image processing
Citations
IEEE
Adithya M., Sumitha B. S., Rahul K., Nitish Kumar P., Pramod G. N.. Automatic number plate recognition using contours and Convolution Neural Networks, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Adithya M., Sumitha B. S., Rahul K., Nitish Kumar P., Pramod G. N. (2021). Automatic number plate recognition using contours and Convolution Neural Networks. International Journal of Advance Research, Ideas and Innovations in Technology, 7(4) www.IJARIIT.com.
MLA
Adithya M., Sumitha B. S., Rahul K., Nitish Kumar P., Pramod G. N.. "Automatic number plate recognition using contours and Convolution Neural Networks." International Journal of Advance Research, Ideas and Innovations in Technology 7.4 (2021). www.IJARIIT.com.
Adithya M., Sumitha B. S., Rahul K., Nitish Kumar P., Pramod G. N.. Automatic number plate recognition using contours and Convolution Neural Networks, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Adithya M., Sumitha B. S., Rahul K., Nitish Kumar P., Pramod G. N. (2021). Automatic number plate recognition using contours and Convolution Neural Networks. International Journal of Advance Research, Ideas and Innovations in Technology, 7(4) www.IJARIIT.com.
MLA
Adithya M., Sumitha B. S., Rahul K., Nitish Kumar P., Pramod G. N.. "Automatic number plate recognition using contours and Convolution Neural Networks." International Journal of Advance Research, Ideas and Innovations in Technology 7.4 (2021). www.IJARIIT.com.
Abstract
Image processing technology is used in Automatic Number Plate Recognition (ANPR). Automatic Number Plate Recognition (ANPR) is useful for identifying stolen vehicles, smart parking systems, and the use of automobiles in unlawful operations. Character recognition is the first step of ANPR, followed by character segmentation and localization. The technique uses contours and morphological processes to locate the number plate initially. We execute character segmentation after localization. Convolution neural networks (CNN) are used by a segmented character to recognize things because they are known to be good at it. The trained CNN model has an 85.31% accuracy rate.
