17-08-2012, 04:38 PM
CAR NUMBER PLATE RECOGNITION
CAR NUMBER PLATE RECOGNITION.pptx (Size: 88.99 KB / Downloads: 661)
Image binarization
Image of the car plate number captured from the camera is first converted to the grascaled image
binary image consisting of only 1’s and 0’s (only black and white).
The essential point for binarization is the thresholding.
by thresholding the pixel values of 0 (black) for all
of image with luminance less than threshold
value and 1 (white) for all other pixels.
Characters segmentation
In the segmentation of plate characters, the car number plate is
segmented into its constituent parts to obtain its characters
individually.
Image filtering from unwanted spots and noise.
Dilation of image to separate characters from each others.
Normalization of characters
Normalization is to refine the characters into a
block containing no extra white spaces (pixels) in all the four
sides of the characters. Sometimes called contrast stretching.
Then each character should be equal in size.