Super-resolution of License-plates Using Weighted Interpolation of Neighboring Pixels from Video Frames

سال انتشار: 1399
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 307

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شناسه ملی سند علمی:

JR_IJE-33-5_033

تاریخ نمایه سازی: 25 خرداد 1399

چکیده مقاله:

Recognizing the license plate from a set of low-resolution video frames using an Optical Character Recognition system (OCR) is a very challenging task. OCR systems fail to properly work in this condition. The use of high-quality cameras is a costly solution to this situation. To overcome this problem, we propose a weighted interpolation method that enhances the resolution of the license plate, using consecutive frames of a video. For this purpose, first, we register the low-resolution video frames of the license plate to the reference license plate in two steps. In the first step, a coarse registration is performed by matching the SURF features. Then a fine registration on the license plate region is performed using the phase correlation technique. After registration, the reference image of the license plate is up-sampled to the desired scale. We propose a method for estimating the intensity of pixels in the up-sampled image with an unknown value. In this method, we use a weighted averaging strategy to estimate the intensity of unknown pixels using the neighboring pixels from video frames.  The obtained super-resolution is suitable for OCR. Experimental results show that applying the proposed method on low-resolution frames of the license plate, improves the quality of the license plate significantly.

نویسندگان

K. Mehrgan

Faculty of Electrical Engineering and Robotics, Shahrood University of Technology, Shahrood, Iran

A. R. Ahmadyfard

Faculty of Electrical Engineering and Robotics, Shahrood University of Technology, Shahrood, Iran

H. Khosravi

Faculty of Electrical Engineering and Robotics, Shahrood University of Technology, Shahrood, Iran