Digit Recognition in Natural Scene Texts

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.