Text detection in the real world images captured in unconstrained environment is an important yet challenging computer vision problem due to a great variety of appearances, cluttered background, and character orientations. In this paper, we present a robust system based on the concepts of Mutual Direction Symmetry (MDS), Mutual Magnitude Symmetry (MMS) and Gradient Vector Symmetry (GVS) propert...

In the existing scenario, the digital images are scanned for their originality or tamper proofing by using the water marking algorithms. However, the water marking algorithms are normally suitable for high color resolution images and do not suit to the textual images i.e. binary images or black and white images. It is very tedious task to embed secret codes or authenticated code in the text ima...

Localizing text regions in images taken from natural scenes is one of the challenging problems dueto variations in font, size, color and orientation of text. In this paper, we introduce a new concept socalled Edge Color Signature for localizing text regions in an image. This method is able to localizeboth Farsi and English texts. In the proposed method rst a pyramid using diff...