Automatic Damaged Number Plate Recognition System in Image Processing
S.Philomina1, S. Ramya2, S. Balaji3
1S. Philomina, Department of Electronics and Communication Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
2S. Ramya, Department of Electronics and Communication Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
3S. Balaji, Department of Electronics and Communication Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
Manuscript received on 14 September 2019 | Revised Manuscript received on 23 September 2019 | Manuscript Published on 10 October 2019 | PP: 287-291 | Volume-8 Issue-6S2, August 2019 | Retrieval Number: F11130886S219/19©BEIESP | DOI: 10.35940/ijeat.F1113.0886S219
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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: The use of the NPR (Number Plate Recognition) is a structure expected to assist confirm the number tags of cars. This structure is anticipated to have the real goal of the security system. This structure is based on an image planning system. This scheme helps to distinguish between the number plates of the cars, to prepare them and to use the information taken care of for further methodology such as securing, empowering the car to pass or to expel the car. NPR is an image scheduling development that utilizes the number (license) plate to acknowledge the car. The goal is to structure a gainful altered attested vehicle unmistakable proof scheme by the use of car number plateThe system is carried out along the route of security control of a particularly restricted area, such as military areas or area around the finest public working settings, such as the Parliament, the Supreme Court, etc. First, the produced system receives a image of the car. The region of the vehicle number plate is evacuated using the picture division in the picture. The optical character affirmation method is used to confirm the character. The resulting information is then used to distinguish and record the information in the database. The structure is performed and impersonated in Python, and the execution is tried on a licensed image. It is seen from the outset that the produced structure acknowledges and sees the car amount vividly.
Keywords: Image Processing, MATLAB, Optical Character Recognition.
Scope of the Article: Pattern Recognition