By Topic

Matching of characters in scene images by using local shape feature vectors

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Hu, Y. ; Graduate Sch. of Environ. & Inf. Sci., Yokohama Nat. Univ., Japan ; Nagao, T.

The paper describes a new method for locating and recognizing colored patterns of characters in complex scene images where translation, rotation, scale and contrast are unknown. A model of local shape feature vectors is presented. It consists of three vectors and represents some identifiable features in a pattern of characters. Based on this model, potential search points are first found from an unknown target image with this model matched to its edge image. Then, a template matching technique is employed on these candidate points, and the results are classified by a simple nearest neighborhood method and a best match is finally picked out in each cluster. Thus, multiple instances of a pattern of characters are matched and recognized. Experimental results demonstrate the effectiveness of this method.

Published in:

Image Analysis and Processing, 2003.Proceedings. 12th International Conference on

Date of Conference:

17-19 Sept. 2003