Digit recognition from a natural scene text in video surveillance/broadcasting applications is a challenging research task due to blurred, font variations, twisted, and non-uniform color distribution issues with a digit in a natural scene to be recognized. In this paper, to solve the digit number recognition problem, a principal-axis based topology contour descriptor with support vector machine（SVM）classification is proposed. The contributions of this paper include: a) a local descriptor with SVM classification for digit recognition, b) higher accuracy than the state-of-the art methods, and c) low computational power（0.03 second/digit recognition）,which make this method adoptable to real-time applications.
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