ºÝºÝߣshows by User: HiraRizvi / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: HiraRizvi / Sat, 23 Nov 2013 19:06:36 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: HiraRizvi License Plate Recognition System /slideshow/final-project-presentation1-28562412/28562412 finalprojectpresentation1-131123190636-phpapp01
Abstract: With an everyday increase in the number of cars on our roads and highways, we are facing numerous problems, for example: • Smuggling of cars • Invalid license plates • Identification of stolen cars • Usage of cars in terrorist attacks/illegal activities In order to address the above issues, we took up the project of developing a prototype, which can perform license plate recognition (LPR). This project, as the name signifies, deals with reading, storing and comparing the license plate numbers retrieved from snapshots of cars to ensure safety in the country and ultimately help to reduce unauthorized vehicles access and crime. License Plate Recognition (LPR) has been a practical technique in the past decades. It is one of the most important applications for Computer Vision, Patter Recognition and Image Processing in the field of Intelligent Transportation Systems (ITS). Generally, the LPR system is divided into three steps, license plate locating, license plate character segmentation and license plate recognition. This project discusses a complete license plate recognition system with special emphasis on the Localization Module.In this study, the proposed algorithm is based on extraction of plate region using morphological operations and shape detection algorithms. Segmentation of plate made use of horizontal and vertical smearing and line detection algorithms. Lastly, template matching algorithms were used for character recognition. The implementation of the project was done in the platforms of Matlab and OpenCV. ]]>

Abstract: With an everyday increase in the number of cars on our roads and highways, we are facing numerous problems, for example: • Smuggling of cars • Invalid license plates • Identification of stolen cars • Usage of cars in terrorist attacks/illegal activities In order to address the above issues, we took up the project of developing a prototype, which can perform license plate recognition (LPR). This project, as the name signifies, deals with reading, storing and comparing the license plate numbers retrieved from snapshots of cars to ensure safety in the country and ultimately help to reduce unauthorized vehicles access and crime. License Plate Recognition (LPR) has been a practical technique in the past decades. It is one of the most important applications for Computer Vision, Patter Recognition and Image Processing in the field of Intelligent Transportation Systems (ITS). Generally, the LPR system is divided into three steps, license plate locating, license plate character segmentation and license plate recognition. This project discusses a complete license plate recognition system with special emphasis on the Localization Module.In this study, the proposed algorithm is based on extraction of plate region using morphological operations and shape detection algorithms. Segmentation of plate made use of horizontal and vertical smearing and line detection algorithms. Lastly, template matching algorithms were used for character recognition. The implementation of the project was done in the platforms of Matlab and OpenCV. ]]>
Sat, 23 Nov 2013 19:06:36 GMT /slideshow/final-project-presentation1-28562412/28562412 HiraRizvi@slideshare.net(HiraRizvi) License Plate Recognition System HiraRizvi Abstract: With an everyday increase in the number of cars on our roads and highways, we are facing numerous problems, for example: • Smuggling of cars • Invalid license plates • Identification of stolen cars • Usage of cars in terrorist attacks/illegal activities In order to address the above issues, we took up the project of developing a prototype, which can perform license plate recognition (LPR). This project, as the name signifies, deals with reading, storing and comparing the license plate numbers retrieved from snapshots of cars to ensure safety in the country and ultimately help to reduce unauthorized vehicles access and crime. License Plate Recognition (LPR) has been a practical technique in the past decades. It is one of the most important applications for Computer Vision, Patter Recognition and Image Processing in the field of Intelligent Transportation Systems (ITS). Generally, the LPR system is divided into three steps, license plate locating, license plate character segmentation and license plate recognition. This project discusses a complete license plate recognition system with special emphasis on the Localization Module.In this study, the proposed algorithm is based on extraction of plate region using morphological operations and shape detection algorithms. Segmentation of plate made use of horizontal and vertical smearing and line detection algorithms. Lastly, template matching algorithms were used for character recognition. The implementation of the project was done in the platforms of Matlab and OpenCV. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/finalprojectpresentation1-131123190636-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Abstract: With an everyday increase in the number of cars on our roads and highways, we are facing numerous problems, for example: • Smuggling of cars • Invalid license plates • Identification of stolen cars • Usage of cars in terrorist attacks/illegal activities In order to address the above issues, we took up the project of developing a prototype, which can perform license plate recognition (LPR). This project, as the name signifies, deals with reading, storing and comparing the license plate numbers retrieved from snapshots of cars to ensure safety in the country and ultimately help to reduce unauthorized vehicles access and crime. License Plate Recognition (LPR) has been a practical technique in the past decades. It is one of the most important applications for Computer Vision, Patter Recognition and Image Processing in the field of Intelligent Transportation Systems (ITS). Generally, the LPR system is divided into three steps, license plate locating, license plate character segmentation and license plate recognition. This project discusses a complete license plate recognition system with special emphasis on the Localization Module.In this study, the proposed algorithm is based on extraction of plate region using morphological operations and shape detection algorithms. Segmentation of plate made use of horizontal and vertical smearing and line detection algorithms. Lastly, template matching algorithms were used for character recognition. The implementation of the project was done in the platforms of Matlab and OpenCV.
License Plate Recognition System from Hira Rizvi
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Paper 2 /HiraRizvi/paper-2-12702219 scan2-120426100544-phpapp01
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Thu, 26 Apr 2012 10:05:42 GMT /HiraRizvi/paper-2-12702219 HiraRizvi@slideshare.net(HiraRizvi) Paper 2 HiraRizvi <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/scan2-120426100544-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Paper 2 from Hira Rizvi
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Solution-Paper 1 /slideshow/solutionpaper-1/12701676 scan1-120426093744-phpapp02
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Thu, 26 Apr 2012 09:37:42 GMT /slideshow/solutionpaper-1/12701676 HiraRizvi@slideshare.net(HiraRizvi) Solution-Paper 1 HiraRizvi <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/scan1-120426093744-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Solution-Paper 1 from Hira Rizvi
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9702 w11 ms_23 /HiraRizvi/9702-w11-ms23 9702w11ms23-120418154711-phpapp02
November 2011 Physics 9702 ]]>

November 2011 Physics 9702 ]]>
Wed, 18 Apr 2012 15:47:09 GMT /HiraRizvi/9702-w11-ms23 HiraRizvi@slideshare.net(HiraRizvi) 9702 w11 ms_23 HiraRizvi November 2011 Physics 9702 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/9702w11ms23-120418154711-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> November 2011 Physics 9702
9702 w11 ms_23 from Hira Rizvi
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9702 w11 ms_22 /slideshow/9702-w11-ms22/12594157 9702w11ms22-120418154703-phpapp02
November 2011 Physics 9702 ]]>

November 2011 Physics 9702 ]]>
Wed, 18 Apr 2012 15:47:02 GMT /slideshow/9702-w11-ms22/12594157 HiraRizvi@slideshare.net(HiraRizvi) 9702 w11 ms_22 HiraRizvi November 2011 Physics 9702 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/9702w11ms22-120418154703-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> November 2011 Physics 9702
9702 w11 ms_22 from Hira Rizvi
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Wed, 18 Apr 2012 15:46:53 GMT /slideshow/9702-w11-ms21/12594156 HiraRizvi@slideshare.net(HiraRizvi) 9702 w11 ms_21 HiraRizvi <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/9702w11ms21-120418154655-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
9702 w11 ms_21 from Hira Rizvi
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Wed, 18 Apr 2012 15:45:29 GMT /slideshow/9702-w11-ms12/12594140 HiraRizvi@slideshare.net(HiraRizvi) 9702 w11 ms_12 HiraRizvi <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/9702w11ms12-120418154531-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
9702 w11 ms_12 from Hira Rizvi
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Wed, 18 Apr 2012 15:45:24 GMT /slideshow/9702-w11-ms13/12594138 HiraRizvi@slideshare.net(HiraRizvi) 9702 w11 ms_13 HiraRizvi <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/9702w11ms13-120418154527-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
9702 w11 ms_13 from Hira Rizvi
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Wed, 18 Apr 2012 15:45:20 GMT /slideshow/9702-w11-ms11/12594136 HiraRizvi@slideshare.net(HiraRizvi) 9702 w11 ms_11 HiraRizvi <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/9702w11ms11-120418154523-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
9702 w11 ms_11 from Hira Rizvi
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Wed, 18 Apr 2012 15:45:14 GMT /slideshow/9702-w11-qp23/12594130 HiraRizvi@slideshare.net(HiraRizvi) 9702 w11 qp_23 HiraRizvi <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/9702w11qp23-120418154517-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
9702 w11 qp_23 from Hira Rizvi
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Wed, 18 Apr 2012 15:45:01 GMT /slideshow/9702-w11-qp22/12594120 HiraRizvi@slideshare.net(HiraRizvi) 9702 w11 qp_22 HiraRizvi <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/9702w11qp22-120418154501-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
9702 w11 qp_22 from Hira Rizvi
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9702 w11 qp_21 /slideshow/9702-w11-qp21/12594113 9702w11qp21-120418154452-phpapp02
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Wed, 18 Apr 2012 15:44:50 GMT /slideshow/9702-w11-qp21/12594113 HiraRizvi@slideshare.net(HiraRizvi) 9702 w11 qp_21 HiraRizvi <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/9702w11qp21-120418154452-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
9702 w11 qp_21 from Hira Rizvi
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Wed, 18 Apr 2012 15:42:02 GMT /slideshow/9702-w11-qp12/12594076 HiraRizvi@slideshare.net(HiraRizvi) 9702 w11 qp_12 HiraRizvi <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/9702w11qp12-120418154204-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
9702 w11 qp_12 from Hira Rizvi
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Wed, 18 Apr 2012 15:41:51 GMT /slideshow/9702-w11-qp11/12594075 HiraRizvi@slideshare.net(HiraRizvi) 9702 w11 qp_11 HiraRizvi <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/9702w11qp11-120418154153-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
9702 w11 qp_11 from Hira Rizvi
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https://cdn.slidesharecdn.com/profile-photo-HiraRizvi-48x48.jpg?cb=1523089828 https://cdn.slidesharecdn.com/ss_thumbnails/finalprojectpresentation1-131123190636-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/final-project-presentation1-28562412/28562412 License Plate Recognit... https://cdn.slidesharecdn.com/ss_thumbnails/scan2-120426100544-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds HiraRizvi/paper-2-12702219 Paper 2 https://cdn.slidesharecdn.com/ss_thumbnails/scan1-120426093744-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/solutionpaper-1/12701676 Solution-Paper 1