Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2
Recognition of Rotated Characters by Eigen-space
Edinburgh, Scotland
August 03-August 06
ISBN: 0-7695-1960-1
In this paper, we present a method of recognizing inclined, rotated characters. First we construct an eigen sub-space for each category using the covariance matrix which is calculated from a sufficient number of rotated characters. Next, we can obtain a locus by projecting their rotated characters onto the eigen sub-space and interpolating between their projected points. An unknown character is also projected onto the eigen sub-space of each category. Then, the verification is carried out by calculating the distance between the projected point of the unknown character and the locus. In our experiment, we obtained quite good results for the CENTURY font of 26 capital letters of the English alphabet (A, B, .... ,Z). This method has the added advantage of obtaining the recognition result (category) and angle of inclination at the same time
Citation:
Hiroyuki Hase, Toshiyuki Shinokawa, Masaaki Yoneda, Ching Y. Suen, "Recognition of Rotated Characters by Eigen-space," icdar, vol. 2, pp.731, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2, 2003