Vehicle number plate recognition using matlab

ppt of vehicle number plate recognition

1. VEHICLE NUMBER PLATE RECOGNITION USING MATLAB By K.SUDHARSHAN G.SANTHOSH KUMAR CH.RAMRAJ

2. CONTENTS Black diagram of the system Characters recognition Characters segmentation Character recognition applications conclusions

3. Image acquisition Image processing Character sigmentation Character recognition Character validition Registrition validation BLOCK DIAGRAM OF THE SYSTEM

4. Characters Recognition Image binarization: * Image of the vehicle number plate captured from the camera is converted to the grascaled image. * Image consisting characterstics from A to Z and numbers from 0 to 9. * Binary image consisting of only 1’s and 0’s (only black and white ). * The essential point for binarization is the threshoulding . * 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.

5. Characters segmentation In the segmentation of the plate characters , the vehicle number plate is segmented in to its constitutes to obtain its characters individually . Image filtering from unwanted spots and noise . Dilation of image to separate characters from each others .

6. Separating the plate characters It is done by finding starting and end points of characters in horizontal direction. T S B T 3 3 8 9

7. Normalization of characters Normalization is to refine the characters into a block containing no extra white space (pixels) in all four sides of the characters. Sometimes called contrast stretching . Then each character should be equal in size . TSBT3389

8. Below an example of normalized character where the character fill all the four sides. s

9. Character recognition To recognize the plate , we use artificial neural network . ANN is designed to recognize 2 6 characters of letters and 10 characters of number. Two ANN topology are designed to recognize letter and number . The designed ANN is a superwised learning network , which is able to recognize input matrix for example : in size 1326 *n

10. APPLICATIONS Traffic signals Border crossings Automobile repossessions   recognize customers based on their license plate

11. CONCLUSION To detect a number plate registritation in easy way. It reduces time duration in this process . It is very reliable .

12. REFERENCES   "ANPR Tutorial" . ANPR Tutorial . 15 August 2006. Retrieved 2012-01-24.   "Automatic Number Plate Recognition" . Cctv-information.co.uk . Retrieved 2012-01-24.   https:// www.gov.uk/government/organisations/driver-and-vehicle-licensing-agency v

13. Thank you