Introducing a new dataset (Iranian Plate) for Iranian licence plate recognition

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Giveki Davar; Dalvand Ozra; Rastegar Homayon

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Journal Paper

Paper Information

Journal: MACHINE VISION AND IMAGE PROCESSING Year:2022 | Volume:9 | Issue:2 Page(s): 81-95

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Information Journal Paper

Title

Introducing a new dataset (Iranian Plate) for Iranian licence plate recognition

Author(s)

Giveki Davar | Dalvand Ozra | Rastegar Homayon | Issue Writer Certificate

Keywords

License plate recognitionQ4

Alexant Convolutional networkQ4

Transfer learningQ4

Deep LearningQ4

Abstract

License Plate Detection is an essential part of smart transportation systems which is always ‎expected to be accurate and efficient. The exponential growth of the number of vehicles has led ‎to many problems for vehicle detection in different fields such as traffic control, parking lot, toll ‎highways and so. Using an automatic system for plate number detection of the vehicle, a large ‎number of problems can be solved. One of the best methods for overcoming this problem is using ‎a convolutional neural network approach. They have shown impressive performance in various ‎computer vision tasks. In this work, we tried to introduce a new dataset of Iranian cars' plates. ‎Then using Transfer learning and Alexnet, we have proposed a new approach for detection and ‎classifying the plate numbers. We conducted comprehensive experiments on the new dataset. The ‎experimental results show that the proposed method has achieved to 97.35% accuracy.‎

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