Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ABSTRACT A method is proposed for detecting whether two CCITT group 4 images re scanned from the same document. Features areextracted from rectangular patches of text and compared with a modified Hausdorif distance measure. Two images are said tobe "equivalent" (i.e., they re scanned from the same document) if the Hausdorff measure finds that a specified number offeatures are located within a given distance of one another in both images.  explains the technique and presentsexperimental results that demonstrate its effectiveness. It is shown that features extracted from a one-inch square patch ofimage data provide better than 95% correct retrieval accuracy with no false positives on a database of 800 documents. 1. INTRODUCTION A useful function in a document image database system is the detection of whether a given image already exists in the data-base. This would enable a content-based retrieval capability in which a single page could be used to retrieve other relatedpages. A related application, illustrated in Figure 1, would issue a message when a specific document image was transmittedor received by a fax machine. This could be applied to a database of confidential documents. The transmission or reception ofsuch images could be recorded.
['Jonathan J. Hull']
I am writing a research paper on a idea Document matching on CCITT Group 4 compressed images
[{"from": "human", "value": "I am writing a research paper on a idea Document matching on CCITT Group 4 compressed images"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ABSTRACT A method is proposed for detecting whether two CCITT group 4 images re scanned from the same document. Features areextracted from rectangular patches of text and compared with a modified Hausdorif distance measure. Two images are said tobe \"equivalent\" (i.e., they re scanned from the same document) if the Hausdorff measure finds that a specified number offeatures are located within a given distance of one another in both images.  explains the technique and presentsexperimental results that demonstrate its effectiveness. It is shown that features extracted from a one-inch square patch ofimage data provide better than 95% correct retrieval accuracy with no false positives on a database of 800 documents. 1. INTRODUCTION A useful function in a document image database system is the detection of whether a given image already exists in the data-base. This would enable a content-based retrieval capability in which a single page could be used to retrieve other relatedpages. A related application, illustrated in Figure 1, would issue a message when a specific document image was transmittedor received by a fax machine. This could be applied to a database of confidential documents. The transmission or reception ofsuch images could be recorded."}]