Soft Computing Techniques Based Automatic Licence Plate Recognition Systems for Indian Vehicles
PNitin Sharma1, Pawan Kumar Dahiya2, Baldev Raj Marwah3

1Nitin Sharma*, Electronics and Communication Engineering Department, Chandigarh University, Mohali, India.
2Pawan Kumar Dahiya, Electronics and Communication Engineering Department, DCRUST, Murthal, India. Email:
3Baldev Raj Marwah, Transportation Engineering Department, IIT, Kanpur, India. 

Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 370-374 | Volume-8 Issue-12, October 2019. | Retrieval Number: L33441081219/2019©BEIESP | DOI: 10.35940/ijitee.L3344.1081219
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Abstract: Automobile industries are growing exponentially in last decade in India. Growth in the vehicle numbers results in much more road accidents and traffic management problem. Not only this, long queues at toll plazas and parking lot is also a major issue of concern. Problem of traffic management and long queues can be solved by automatic licence plate recognition systems. In this paper, an automatic Licence Plate Recognition Systems based on soft computing techniques are presented. Indian vehicle with licence plates were used for testing the implemented systems. Firstly the licence plate image is extracted from the vehicle image and the characters are segmented from the extracted licence plate image and then features are extracted from the segmented characters which are used for the recognition. Soft computing techniques random forest, neural network, support vector machine, and convolutional neural network are used for the implementation pusrpose. The results obtained for the applied soft computing technique are compared to the last. The future scope is the hybrid technique solution to the problem.
Keywords: Automatic License Plate Recognition System (ALPR), Convolutional Neural Network (CNN), Neural Network (NN), Random Forest (RF), Support Vector Machine (SVM)
Scope of the Article: Pattern Recognition