Paper Title
A Shape Based Text Segmentation Using Eccentricity Transform

Document images are stored, manipulated and accessed easily on an electronic media. There is an increasing demand to design automated systems for the purpose of extracting useful information from document images. Most documents, suffer a lot of challenges including occlusion to detect text. Also, techniques required to solve such challenges demand more computational processing and falls short in terms of real-time application. In our project, we have made use of eccentricity transform to segment the text into line(s), word(s) and character(s) making it efficient for video processing in real-time application. We have further extended our work to process the algorithm on Raspberry Pi 2 board for video processing. The algorithm has been verified and tested on 30 printed English documents. Keywords— Document Images, Segmentation, Eccentricity Transform, Raspberry Pi 2.