Abstract
Edge detection and recognition is one of the most critical procedures in image processing and pattern recognition. Traditional Canny algorithm has some advantages, such as simple and fast execution times. It is not good enough when traditional Canny algorithm is applied in complex background images for objects edge detection. It is sensitive to noise and low location accuracy. To solve the shortcomings of traditional Canny algorithm, we propose an improved edge detection and recognition algorithm. The proposed edge detection algorithm can remove the influence of complex background images in the process of edge detection and characters segmentation. The effectiveness of the proposed algorithm is demonstrated by the experimental results. The proposed algorithm can eliminate the complex background of credit card and detect the meaningful edges of its numbers. The experimental results show the improved algorithm can obtain accurate edge position and good segmentation results.
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