13-09-2013, 02:12 PM
AUTOMATIC NUMBER PLATE RECOGNITION USING ANDROID
NUMBER PLATE RECOGNITION.pptx (Size: 774.18 KB / Downloads: 40)
INTRODUCTION
Automatic Number Plate Recognition (ANPR) refers to the optical character recognition using the camera to read the number plate
Using the extracted information, vehicle information can be obtained from the college vehicle database
SCOPE AND OBJECTIVES
The project is to be implemented in the following steps:
The first step is the detection and capturing a vehicle image.
The second step is the detection and extraction of number plate in an image.
The third section use image segmentation technique to get individual character and optical character recognition (OCR) to recognize the individual character with the help of database stored for each and every alphanumeric.
IMAGE PROCESSING
Image Processing generally involves extraction of useful information from an image.
This useful information may be the dimensions of an engineering component, size of diagnosed tumor, or even a 3D view of an unborn baby.
The main areas of application of Image Processing are Bio-Medical, Engineering, Quality Control, Face Detection , Traffic Control etc.
Algorithm: Detecting Number plate area
1.Fill small holes including numbers of Number plate so that number plate area will be large to isolate from figure.
2.Determine width and height of the image.
3.Scan each pixel of line counting number of white pixels in the following system,
If number of ‘white’ pixels < x; pixels become ‘black’
Else; no change
If number of ‘white’ pixels > y; pixels become ‘black’
Else; no change
The value of x and y may be changed according the image intensity and plate area.