Utilization of Maximum Data Hiding Capacity in Object-Based Text Document Authentication

Abstract

Although data hiding in text document images is difficult due to the binary nature and clear separation between the background and foreground but it is getting higher demand for many applications. In this paper, a new enhanced embedding method is proposed for object-based text document authentication, in which the maximum data hiding capacity of the document is utilized for watermark embedding. Due to which maximum information that a document can contain is embedded within the entire document. Experimental results show that the proposed method utilizes the maximum data hiding capacity as watermark size to ensure the authenticity and integrity of the document much better as compared with the compared technique in which embedding and temper detection fails in some cases.