Research on Born-Digital Image Text Extraction Based on Conditional Random Field

Born-digital images are generated directly with the computer, the text in the images is important for fully understanding the images. Although there are many methods having been proposed over the past years for text extraction from natural scene images, text detection and extraction from born-digital images are still a challenge. This paper proposed an algorithm of text extraction from born-digital images based on conditional random field (CRF). CRF model not only considers unary component properties and binary contextual component relationships, but also learn parameter s with supervised. This paper combines features and relationships within the CRF framework and the experiment results show that this algorithm can extract text effectively from the born-digital images.