- The microscopic details of printing often are unnoticed by humans, but can make differences that affect machine recognition of printed text. Models of the defects introduced into...
: We present a symbol recognition method without segmentation of the document. Our approach uses Zernike moments for the coding and a multilayered Perceptron for the classifier. Re...
Compound images contain a mixture of natural images, text, and graphics. They need special care in the use of compression because text and graphics cannot withstand the significan...
We propose Limpid Desk which supports document search on a real desktop with virtual transparentizing of the upper layer of a document stack in projection-based mixed reality (MR)...
Conventional segmentation technique cannot extract difficult characters such as an isolated character and a touching character. In this paper, we propose a novel character recogn...