Revolution by using Optical Character Recognition Technique to Identify Registered Number Plate
Rucha S. Dabholkar1, S. V. Phakade2
1Miss. Rucha S. Dabholkar, Electronics and Telecommunication, BATU University, P.V.P.I.T, Budhgaon, Sangli, India.
2Mr. S. V. Phakade, Electronics and Telecommunication, BATU University, P.V.P.I.T, Budhgaon, Sangli, India.
Manuscript received on 02 July 2019 | Revised Manuscript received on 07 July 2019 | Manuscript published on 30 August 2019 | PP: 1185-1188 | Volume-8 Issue-10, August 2019 | Retrieval Number: I8643078919/2019©BEIESP | DOI: 10.35940/ijitee.I8643.0881019
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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: From past few years, the most interesting research topic is ANPR which registration of vehicles by their number plates. The purpose of this system is used for identifying number plate of numerous automobile. From automobile images, only number plate is extracted using binary mask method. And Optical Character Recognition (OCR) technique will be done with segmentation method. In segmentation, the numbers or characters on number plate are separated into small parts which is used to recognize using template matching in optical character recognition algorithm. As a result, the recognized number plate will be displayed. Also the result of this number plate is registered or not registered number plate will be displayed as a result. Keywords:
Keywords: Car images; NPR; Character Separation; OCR.
Scope of the Article: Image Processing and Pattern Recognition