Affine‐invariant character recognition by progressive removing

Abstract

Recognizing characters in scene images suffering from perspective distortion is a challenge. Although there are some methods to overcome this difficulty, they are time‐consuming. In this paper, we propose a set of affine‐invariant features and a new recognition scheme called “progressive removing” that can help reduce the processing time. Progressive removing gradually removes less feasible categories and skew angles by using multiple classifiers. We observed that progressive removing and the use of the affine invariant features reduced the processing time by about 60% in comparison to a trivial algorithm without decreasing the recognition rate. © 2012 Wiley Periodicals, Inc. Electr Eng Jpn, 180(2): 55–63, 2012; Published online in Wiley Online Library (http://wileyonlinelibrary.com). DOI 10.1002/eej.22276

A Secondary Pretreatment Method of Particled Graph

“…Many pretreatment methods have been proposed. Iwamura et al [3] regarded a set of affine invariant features as pruning normal form to reduce the processing time of recognizing characters in scene images. Vivaracho-Pascual et al [4] took the on-line signature of specific sampling frequency as a normal form to recognize on-line signatures.…”