Abstract

It is difficult to manually build a digital management system for archive information. This paper explores the application of image processing and identification technology for digital archive information management, trying to provide convenient and swift services to archive mangers and archive information requestors, and to strengthen the standardized management of archive information. Firstly, the authors summarized the difficulties in digitalizing paper archives, and explained how to correct the tilt of digital archives. Next, the adaptive histogram equalization was improved to realize high-quality digitalization of archive images. In addition, the image processing flow was explained for the digitalization of archive images, and the horizontal projection histogram was adopted to quickly extract and detect the archive image texts being digitalized. The proposed image processing approach was proved effective through experiments.

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