High Capacity Image Data Hiding of Scanned Text Documents Using Improved Quadtree

Abstract

In this paper, an effective method was introduced to steganography of text document in the host image. In the available steganography methods, the message has a random form. Therefore, the embedding capacity is generally low. In the proposed method, the main underlying idea was the sparse property of scanned documents. The scanned documents were converted from gray-level form to binary values by halftoning idea and then the information-included parts were extracted using the improved quadtree and separated from document context. Next, in order to compress the extracted parts, an algorithm was proposed based on reading the binary string bits, ignoring the zero behind the number, and converting them to decimal values. Embedding capacity of the proposed method is higher than that of other available methods with a random-based message. Therefore, the proposed method can be used in the secure and intangible transfer of text documents in the host image.

Data Aggregation and Privacy Preserving Using Computational Intelligence

“…Text features are inspected from the bitmap image, and those features are changed for embedding watermark information. A method is recommended in [8], based on quadtree partition that is applied for hiding data. The proposed algorithm compresses the extracted parts then converts them into binary string bits.…”