Recognition of Rotated Characters by Eigen-space

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

• Type: Conference
• Year: 2003
• Where: ICDAR
• Authors: Hiroyuki Hase, Toshiyuki Shinokawa, Masaaki Yoneda, Ching Y. Suen
• Keywords: Document Analysis, Eigen Sub-space, ICDAR 2003, Projected Point, Rotated Characters