Text region extraction in image-based spam email

Text regions provide an important clue for filtering image spam.To get the information of the text region in image spam,an algorithm based on Hough transform was proposed for slant text region extraction,and a tiny region removal algorithm based on eight-neighbor pixels was also proposed for effectively eliminating the disturbance of background image.The two algorithms were integrated to implement an approach of automatic extraction of the text region.The new approach was insensitive to the orientation,location,color,font,and size of the text.The simulation experiments were carried on among a collection of 100 spam images.Results show a good performance of text region extraction.