Natural scene text location is the precondition of the text recognition, a fast and effective technique is proposed for
text location oriented Chinese environment. First, the color edge of the image is detected in consideration of the stroke
directions of Chinese characters, then the collection of candidate text blocks is obtained by post-processing; Second,
because text differs from non-text in texture, local binary pattern (LBP) operator is employed to extract the texture
feature of candidate text block, then feed them into SVM classifier for verification, thus a great number of non-text
blocks are excluded, and a higher accuracy rate is obtained. Finally, the algorithm is tested on our database, which
includes 1000 images, and experimental results show that the proposed algorithm works well and very robust under the
conditions of uneven lighting, blurring, and low contrast etc.