29-10-2010, 06:49 PM
provide report and details
29-10-2010, 06:49 PM
provide report and details
21-05-2011, 02:41 PM
hi friend you can refer these pages to get the details on NUMBER PLATE RECOGNITION
https://seminarproject.net/Thread-automa...ecognition https://seminarproject.net/Thread-automa...tion--1460
03-11-2012, 12:26 PM
NUMBER PLATE RECOGNITION
NUMBER PLATE.pdf (Size: 72.61 KB / Downloads: 25) Need of Number Plate Recognition System This system is advanced in surveillance of cars in parking and at toll Plazas. this will automatically generate the number of a Vehicle and that can be used on the bills or may be to monitor the usage of the parking lot by a car. This system can be extremely useful for gathering statistics on road or at a check point for custom checking or to recognize a stolen vehicle. This system takes a vehicle image of any size breaks it into smaller image pieces. These pieces are then analyzed to locate the exact location of number plate in the image. Once the area of the number plate (its x and y coordinates) is found the plate is parsed to extract the character from it. These characters are then given to the OCR module. OCR program recognizes those characters and converts them in text format. Components of the system Vehicle number plate recognition system has three main components in it. 1. Breaking the image into smaller pieces of images which are the high frequency parts of the original image. 2. Choosing the number plate from the image pieces returned by the above module, and parsing the plate to extract out the character part. 3. Recognizing the characters in the image pieces. TECHNIQUE USED Signature technique is used for the implementation of this project. Taking row wise or column wise signature of an image gives the information about the less detail and more detail areas of the image. So it becomes easy to find out the areas with high frequencies. How Signature is Used Signature technique helps in locating high frequency areas. If the image is binarised then most of the detail is lost from the image,leaving our area of interest more prominent. Finding Probable Number Plate In The Image Once the image is binarised its row wise histogram (sum of white or black pixels in each row) or signature is taken to find out which number of rows is showing ridges. These ridges are basically high frequency areas and one of these ridges will definitely be a number plate. Recognizing Number Plate From The Candidate Images After this task, the x and y coordinates of all the high frequency pieces which are the candidates of number plate are known. As we can see that on the number plate there would be 4 to seven characters. So each character will show a ridge in the row signature of the image piece, secondly most of the information is lost because of binarising the image so only number plate area will show maximum number of ridges. Now if we take the row wise histogram of those binarised pieces we can see that number plate image shows more number of ridges as compared to any other candidate image. So image with maximum number of ridges in its row signature is chosen as the number plate.Then the same signature technique is applied to extract the numbers from the number plate image. The difference was in the threshold value. Because here we needed to pick each ridge in the histogram therefore the minimum value of the histogram was chosen as the thresholding value. And the reason is that all characters might not show ridges with equal peak (highest point in the ridge). Or a character like ‘X’ might be broken into two ridges. As it is obvious that the center of the character X will show very small peak. CONCLUSION Although this system is doing the job which was its requirement, but this system can not be implemented due to some limitations. System uses template OCR which cannot recognize the joint characters. Secondly it recognized only those characters whose template is available to it. System performance can be improved by using better OCRs. All those system areas where number plate recognition is implemented or needed to be implemented require a system that recognized number plate characters form a moving picture. Those systems take a frame form that moving picture and try to find out whether this frame contains number plate in it or not. Where as this system takes a still image as input an tries to find out the number plate area in it. |
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