Abstract
In this paper, the implementation of localizing and recognizing license plate in real time environment with a neural network using a mobile device is described. The neural networks used in this research are Convolutional Neural Network (CNN) and Backpropagation Feed Forward Neural Network (BPFFNN). Image processing algorithm for pre-processing, localization and segmentation is chosen based on its ability to cope with limited computational resource in mobile device. The proposed license plate localization steps include combination of Sobel edge detection method and morphological based method. Detected license plate image is segmented using connected component analysis (CCA) and bounding box method. Each cropped character is fed into CNN or BPFFNN model for character recognition process. The neural network model was pretrained using desktop computer and then later exported and implemented in Android mobile device. The experiment was conducted in a moving vehicle on selected driving routes. The results obtained showed that CNN performed better compared to BPFFNN in a real time environment.
Highlights
Automatic License Plate Recognition (ALPR) is an image technology application that detects, extracts and recognizes license plate information from an image or video frame
The experimental result shows that the average recognition success rate in Convolutional Neural Network (CNN) is higher compared to Backpropagation Feed Forward Neural Network (BPFFNN)
Conclusion and future work This research investigates the potential of implementing the ALPR system in mobile device for real time environment using a low cost, portable and efficient ALPR system with the use of smartphone device
Summary
Automatic License Plate Recognition (ALPR) is an image technology application that detects, extracts and recognizes license plate information from an image or video frame. The extracted information can be used in many applications, such as real time traffic monitoring system, vehicle access control and electronic payment system which include toll payment, parking fee payment and so on [1]. Smartphones nowadays are equipped with high-performance processor and decent camera hardware that can produce high quality image, making it possible to implement complex image processing algorithm for ALPR system.
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