Text Information Extraction Technique in Complex Images
Bai Si-xue · Journal of Jiangxi Institute of Education · 2008
Text data contained in many images is greatl useful for automatic understanding of high-level semantics,image indexing and retrieval.Automatic extraction of text information involves automatic detection,location,extraction,divisicn and recognition.However,variations of text due to differences in size,style,orientation,and alignment,as well as low image contrast and definition make the problem of automatic text extraction extremely challenging.In order to make researchers know the academic area more systemically,this paper discusses the current development of the area gives an overview of state of text detection and recognition technique in complex images,and points out promising directions for future research.