In this paper, a system for automatic detection and regions, color clustering method was proposed by Wang recognition of Korean texts or shop names in outdoor signboard and Kangas in [8]. The scene image is clustered into images is described. The system includes detection, binarization different color components and an intensity component. and extraction of text in a signboard image captured by a camera The method utilizes the fact that generally the color in texts of a mobile phone for the recognition of the shop name. It can deal with dfferent font styles and sizes as well as illumination S dfferent from the color in the background. And potential changes. Individual characters detected by connected component text reions are extracted by connected-com onent basedanalysis are recognized by using nonlinear mesh, in which feature heuristics from these layers. An aligning and merging vectors of vertical and horizontal components are extractedfrom analysis method is used for extracting texts. The approach the binarized image. Proposed methods have been applied to a used in which each row and column information is Korean text translation system, which can automatically detect analyzed. The proposed method is robust in locating mostly and recognize Korean texts and generate the translation result.Chinese and English in scenes; some false alarms happened
We prove a lower bound for the first eigenvalue of the Dirac operator on a compact Riemannian spin manifold depending on the scalar curvature as well as a chosen Codazzi tensor. The inequality generalizes the classical estimate from [2].
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