The Enhancement and Recognition of the Low Resolution License Plate Video

• Main Authors: Tung-han Hsieh, 謝東瀚
• Other Authors: Hsuan Ren
• Format: Others
• Language: en_US
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/gys25d

碩士 === 國立中央大學 === 資訊工程研究所 === 97 === The surveillance video camera has been used on the road for traffic for a long time, but the resolution of the video is not fine enough to recognize the letters on the license plate. Addition to motion blur, noise effects and the distance of camera is far away from the vehicle, this becomes a very challenge problem. In this thesis, a novel approach for super resolution image reconstruction is proposed. We first register multiple blurred low resolution license plate images by correlation matching and geometric transformation with control point pairs, and then we fuse the registered low resolution images by interpolating and averaging them to high resolution image. After the high resolution image is restored, we apply the post process steps to further enhance the readability of the letters on the license plate. We capture low resolution test video sequence by defocusing the scene with vehicle to verify the proposed method. And we conduct a comparison to bicubic interpolation with the result by applying proposed method. The experimental result shows that our method can improve the quality of blurred low resolution image successively.