Abstract: To detect text from images with different backgrounds,a text detection method with active contour models was proposed.Before text detection,the sobel-laplacian and gaussian-laplacian were used to sharpen edges and smooth noise,and then iteration algorithm was repeated to enlarge or lessen the contour to get the final contour,ruling out the un-text block at last.The proposed method can box a single text eventually,and it is advantageous to the subsequent segmentation recognition.Experiment shows that the proposed method can effectively detect the text in the image.

Key words: Text detection,Active contour models(ACM),Complex background,Edge detection