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Owing to special structure Tibetan characters, the recognition of traditional Tibetan characters encounters the problems of low recognition rates and poor recognition effects. Through conducting an in-depth study on features of the printed Tibetan characters, this paper develops a series of methods to increase recognition rate and improve the recognition effects of Tibetan characters even in the case...
Hand-based identification have developed very recently. This paper proposes a recognizing method for defocused palmprint images using 2DPCA. In order to achieve the purpose of intercepting region of interest (ROI) of palmprint under contactlass mode, we used profile information of palm and root of fingers situations to locate characteristic points of contour. Next, the palmprint features were extracted...
In this paper we describe a new approach to distinguish and extract text from images with various objects and complex backgrounds. The goal of our approach is to present characters in images with clear background and without other objects. The proposed approach mainly includes two steps. Firstly, a density-based clustering method is employed to segment candidate characters by integrating spatial connectivity...
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