real-time image capturing system for car plate recognition

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46b. There is no license plate attached on vehicle as shown in Figure 4.17:-Figure 4.17 No license plate attached on the vehiclec. The license plate is blocked by the bumper installed at front of vehicle asshown in Figure 4.18:-Figure 4.18 Vehicle plate blocked by installed bumper
47According to the real-time video captured from 4.05:00pm to 4.22:32pm on18 May 2012, there are 358 images saved at the capture rate of 3000 milliseconds.In the 358 images, 145 cars are leaving the UTM main door. There were 110 out of145 car plates were displayed clearly. The remaining of 35 car plate is either blurredor blocked by other vehicle. The efficiency of application to capture a clear licenseplate image at the specific period is 110145× 100% = 75. 86% .For the offline video with the length of 3 minutes and 31 seconds recorded on18 May 2012, application captured 121 images at the capture rate of 2000milliseconds. Among 121 images, 40 cars were detected leaving the UTM maindoor. There were 39 out of 40 car plates displayed distinctly and 1 car plate wasblocked by the body of vehicle that leading in front of it. Hence, the efficiency of theapplication to obtain clear license plate image in offline video mode is 3940 × 100% =97. 50% .Based on the efficiency of capturing a clear license plate image above, it canbe increased further by shortening the capture rate value. When the capture ratevalue is decreased, more real-time or offline video frame will be grabbed within thespecific period. The more images captured and saved in the application, the higher isthe chance to obtain a clear license plate. However, the method of decreasingcapture rate value is not an effective way. This is because the space of hard disk willbe occupied and saturated easily due to a large number of images saved from time totime. Besides that, it will also slow down the capturing system because there will bea lot of data be processed simultaneously.
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REAL-TIME IMAGE CAPTURING SYSTEM FO
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iiiSpecially to my beloved grandfat
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vABSTRACTCar Plate Recognition Syst
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viiTABLE OF CONTENTSCHAPTER TITLE P
Page 12 and 13: ix5 CONCLUSION AND RECOMMENDATION 4
Page 14 and 15: xiLIST OF FIGURESFIGURE NO. TITLE P
Page 16 and 17: xiiiLIST OF APPENDICESAPPENDIX TITL
Page 18 and 19: 2the real-time video capture and re
Page 20 and 21: 4application as received by the mot
Page 22 and 23: CHAPTER 2LITERATURE REVIEWCar Plate
Page 24 and 25: 8looking camera so that it can capt
Page 26 and 27: 102.4 Type of License Plate Capture
Page 28 and 29: 12There are two types of IP camera
Page 30 and 31: 14a. IP camera is setup in the targ
Page 32 and 33: 16computer over the IP network for
Page 34 and 35: 18player will read variable ‘img
Page 36 and 37: CHAPTER 3METHODOLOGYIn this project
Page 38 and 39: 22Figure 3.3 Hardware overview of B
Page 40 and 41: 243.1.3 MonitorFigure 3.6 MonitorFi
Page 42 and 43: 26Start1. Display welcome header2.
Page 44 and 45: 28StartDisplay welcome to Live Stre
Page 46 and 47: 30StartDisplay welcome to Offline V
Page 48 and 49: 32Figure 4.1 Overview of hardware i
Page 50 and 51: 344.2 Application Functionality Tes
Page 52 and 53: 36Figure 4.7 Camera undetected scre
Page 54 and 55: 38Figure 4.10 Live video timer and
Page 56 and 57: 40Figure 4.11(b) Images captured fr
Page 58 and 59: 42Then, the user can insert capture
Page 60 and 61: 44Figure 4.15(b) Images captured fr
Page 64 and 65: CHAPTER 5CONCLUSION AND RECOMMENDAT
Page 66 and 67: 50REFERENCES1. Toral, S.L., E.S. In
Page 68 and 69: 52APPENDIX AProject Gantt ChartNoTa
Page 70 and 71: 54APPENDIX BSource Code of Develope
Page 72 and 73: 56if (frame){imgColor = frame;// ob
Page 74: 58// save imagecvSaveImage(buffer,
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real-time image capturing system for car plate recognition

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