Image Recognition for Automatic Number Plate Surveillance
P.Meghana1, S. SagarImambi2, P. Sivateja3, K. Sairam4
1P. Meghana, Department of Computer Science Engineering, KL University, Vaddeswaram (Andhra Pradesh), India.
2Dr. S. Sagar Imambi, Department of Computer Science Engineering, KL University, Vaddeswaram (Andhra Pradesh), India.
3P. Sivateja, Department of Computer Science Engineering, KL University, Vaddeswaram (Andhra Pradesh), India.
4K. Sairam, Department of Computer Science Engineering, KL University, Vaddeswaram (Andhra Pradesh), India.
Manuscript received on 05 February 2019 | Revised Manuscript received on 13 February 2019 | Manuscript published on 28 February 2019 | PP: 9-12 | Volume-8 Issue-4, February 2019 | Retrieval Number: C2584018319/19©BEIESP
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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 number plate recognition is a well known proposal in todays world due to the rapid growth of cars, bikes and other vehicles. This automatic number plate recognition system uses image processing technology for identification of the vehicles. This system can be used in highly populated areas and higly restricted areas to easily identify traffic rule violated vehicles and owners name, address and other information can be retrieved using this system. This system can be automated and it is used to recognize vehicles without authorization ,vehicles that violated rules at populated areas like malls, universities, hospitals and other car parking lots. This can also be used in the case of car usage in terrorist activites, smuggling, invalid number plates, stolen cars and other illegal activities. It can also be used in highway electronic toll collection. Image of the car number plate is captured and detection is done by image processing ,character segmentation which locate the alpha numeric characters on a number plate.Then the segmented characters are translated into text entries using optical character recognition(ocr).ANPR systems are already available but efficiency is not gained thoroughly. These systems are developed using different methodologies butsome factors like vehicle speed, different font styles,font sizes, language of vehicle number and light conditions are required to be explored .These can affect a lot in the overall recognition rate. ANPR systems use (ocr) optical character recognition to scan the vehical number plates, and it can be retrieved whenever required. The other details of the owners of the vehicles like address and mobile number can be manipulated whenever necessary by contacting the system administrative. The purpose of this paper is to recognize a car number plate using ann, image segmentation. We intended to develop a system in mat lab which can perform detection as well as recognition of a car number plate.
Keyword: ANPR, Histogram Approach, OCR, Template Matching.
Scope of the Article: Image Processing and Pattern Recognition