Table 4.

Plate processing and character recognition.

↓	Input: Image matrix A
	crop	Utilizes of the coordinates in input (matrix A)
	name	Name the obtained image as P 1
	resize	Make Standard size of 75 × 228 pixel from P 1
	name	The obtained image as P 2
	for	Each pixel in image P 2{
	start	SCW method in P 2
	parameters:	X 1 = 2, Y 1 = 5, X 2 = 4, Y 2 = 10, T = 0.7, M =
	and	standard deviation value; }
	name	The obtained image P 3
	inverse	Image P 3
	name	The obtained image as P 4
	Run	Binary measurement in P 4
	Retrieve	Objects which meet (orientation > 75 degree),
		(height > 32 pixels)
	name	The obtained image as p 5
	Recognize	The bounding case of characters using standard deviation in p 5
	run	Character segmentation in p 5
	Count c,	Where c: NO. detected characters
	for	a = 1 : c,
	{convert	Character to 9 × 12 pixels
	create	Input vector
	Forward	Input vector to PNN and get decision }