Text extraction from name cards using neural network

Abstract

This paper addresses the problem of text extraction from name card images with fanciful design containing various graphical foreground and reverse contrast regions. The proposed method is to apply a neural network on canny edges with both spatial and relative features like sizes, color attributes and relative alignment features. By making use the alignment information, we can identify the text area from the character level rather than the conventional window block level. This alignment information is based on the human visual perception theory. Some post processing like color identification and binarization will be helpful to get a pure binary text image for OCR. © 2005 IEEE.