International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 07 | July 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 5780 An Efficient Approach for Automatic Number Plate Identification Using Optical Car Recognition (OCR) Technique Vipula T.Patil 1* , Vinayak S.Burud 1 , Pravin B. Ghewari 2 , Pravin B. Desai 2 1 *Student, M.Tech E&TC @ Ashokrao Mane Group of Institutions (AMGOI), Vathar Tarf Vadgaon, Maharashtra, India. 2 Professor @ Ashokrao Mane Group of Institutions (AMGOI), Vathar Tarf Vadgaon, Maharashtra, India ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - Automatic vehicle number plate detection is a computer based image-processing technology that identify any digital character present on the number plate .Image-processing technique help to identify number plate information and extraction in the form of image. Number plate identification plays pivotal role in maintain parking system, traffic regulation. Moreover, useful in security system, toll collection plaza and RTO (regional transport office) etc. Recognition system used to investigate number plate character and helps to recognize moving vehicle number plate accurately and automatically. There are three main components for number plate character recognition system viz. i) Extraction of vehicle number plate: It is the initial stage for detection of number plate and pre-processed for removing noise and obtained results are transfer to next part. ii) Character segmentation: In this part include segmentation of individual character present on number plate. These segmented character s are separated and processed to an OCR algorithm. iii) Optical character recognition (OCR): It is the technique in which optical character data will be transformed to encoded text format, later on by using template matching processed characters will be recognized and obtained ultimate output is string character with help of OCR technique. For vehicle number plate recognition, different OCR techniques have been available it include, character detail matching process, Bi-directional neural network and cross correlation pattern matching All above techniques used for matching digital characters with template data along with processing time and memory for database. The focus of this paper is a proposed an algorithm which is more effective technique for vehicle number plate identification based on open computer vision (CV) and OCR techniques which give better performance in identification also database memory required very low as compared to other systems . In this technique we have used python as a software language which is very useful and open CV as a read time application so it is more efficient than other algorithm which uses in Matlab. The main intention of this study is to identify vehicle number plate using open computer vision (CV) and optical character recognition approach along with python language software. Moreover, it is easily find out number plate from small as well as large vehicle with different angle and extract the characters present on it using image-processing method. Afterwards algorithm is adapted to every character and generated array for provided characters then number plate characters analyzed by matching template with their identification array present in the database. Key Words: Optical character recognition, open CV, number plate identification, algorithm, template matching. 1. INTRODUCTION Today’s age is electronic age due to advanced developments in electronic industry, use of electronic components from human bodies to satellite, so tremendous demand of electronic parts everywhere in the world. Vehicle industry also modified their vehicle using electronic components like sensors, GPS, speedometer etc. also unmanned or unscrewed vehicle coming in the market it is the miracle of electronic industry. Large number of identification techniques implemented in previous study like boundary following technique, BAM neural network, color image processing technique, gray scale morphological method, cross correlation technique, all these technique used for number plate recognition. Vehicle number plate identification is plays very crucial character in traffic regulation, regional transport office (RTO), tracing stolen vehicles, automatic toll collection plaza, parking system and vehicle related crimes etc.[1].