Vehicle Number Recognition From Vehicle Images using CNN
S. Usha Kiruthika1, M.Ramana Sai Prasada Varma2, Y.Sukesh3
1Dr.S Usha Krithika, Assistant Professor, Dept. of Computer Science and Engineering), SRM Institute Of Science and Technology, Chennai, India.
2M.Ramana Sai Prasada Varma, Dept. of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
3Y.Sukesh, Dept. of Computer Science and Engineering, SRM Institute Of Science and Technology, Chennai, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 25, 2020. | Manuscript published on April 10, 2020. | PP: 745-749 | Volume-9 Issue-6, April 2020. | Retrieval Number: F3678049620/2020©BEIESP | DOI: 10.35940/ijitee.F3678.049620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Automatic vehicle number recognition is used to recognize the vehicle number plate from images of vehicles and also the number from the number plate. It plays an important role in some applications such as automated parking, over speed tracking of vehicles, road traffic monitoring and issuing fine for traffic rule violators. Several challenges like number obstruction, faded numbers, blurring, time consumption, etc. are involved in number recognition from real-time images. We survey the techniques that have been applied for this problem. We also provide a classification of the techniques which will be useful for researchers to identify research gaps in this area. Finally, we provide future scope for research in this area.
Keywords: License Plate Recognition, Extraction of Character, Character Segmentation.
Scope of the Article: Image Processing and Pattern Recognition