SMART AUTOGATE USING OPTICAL CHARACTER RECOGNITION (OCR) AND COLOR DETECTION

Abstract

This paper proposed a project entitled Smart Auto gate using Optical Character Recognition
(OCR) and color detection. It consists of two sections that used an image processing technique
which are License Plate Recognition (LPR) and Color Detection. Image processing has been
widely used in various types of field. LPR is one of the systems which used an image processing
technique to extract the vehicle’s number plate from an image or from a video in an editable text.
Most LPR are being used in monitoring activities and for security aspects. The purpose of this
paper is to implement the combination of LPR with color detection in home automatic gate.
MATLAB were interfaced with Arduino Mega 2560 to represent the system. For color
detection, the output was triggered once the desired color programmed in MATLAB was
recognized through the camera. Basically, LPR involves a process starting from image
acquisition, preprocessing, segmentation and finally recognition. OCR was used in the
recognition process to recognize each character on the license plate. There are 10 cars in total
that had been experimented with LPR and the character confidences obtained for alphabetic
character is 87.28% success rate and 77.83% for number character.