An Improved Image Mosaicing Algorithm for Damaged Documents
This work addresses the need for efficient document recovery in fields like forensic sciences and archival study, but it appears incremental as it builds on existing image mosaicing techniques with a simplified two-piece approach.
The paper tackles the problem of recovering damaged documents from shredded pieces by proposing an image mosaicing algorithm that reconstructs the original document from two torn fragments, aiming to automate a traditionally manual and time-consuming process.
It is a common phenomenon in day to day life; where in some of the document gets damaged. Out of several reasons, the main reason for documents getting damaged is shredding by hands. Recovery of such documents is essential. Manual recovery of such damaged document is tedious and time consuming task. In this paper, we are describing an algorithm which recovers the original document from such shredded pieces of the same. In order to implement this, we are using a simple technique called Image Mosaicing. In this technique a complete new image is developed using two or more torn fragments. For simplicity of implementation, we are considering only two torn pieces of a document that will be mosaiced together. The successful implementation of this algorithm would lead to recovery of important information which in turn would be beneficial in various fields such as forensic sciences, archival study, etc