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Expert knowledge based automatic regions-of-interest (ROI) selection in scanned documents for digital image encryption

TitleExpert knowledge based automatic regions-of-interest (ROI) selection in scanned documents for digital image encryption
Publication TypeConference Paper
Year of Publication2006
AuthorsWong, A., and W. Bishop
Conference Name3rd Canadian Conference on Computer and Robot Vision
Abstract

Conventional image-oriented cryptographic techniques lack the flexibility needed for content-specific security features such as the concealment of confidential information within a portion of a document. Content-specific security is particularly important for digital archival systems that store sensitive documents in the form of digital images. Recently, a novel image encryption scheme utilizing multiple levels of regions-of-interest (ROI) privileges for digital document encryption was developed to address the needs of modern digital document management systems. This image encryption scheme requires the selection of regions-ofinterest for encryption. The process of manually selecting regions can be time-consuming. This paper presents an automatic, regions-of-interest selection algorithm that utilizes an expert knowledge learning system to select regions of interest in a scanned document image for the purpose of minimizing human interaction time during the encryption process. Experimental results show that a high level of accuracy and significant timesaving benefits can be achieved using the proposed algorithm.

DOI10.1109/CRV.2006.33