2A1-L12 Haar-like特徴を用いた仮名漢字領域検出アルゴリズムの開発(ロボットビジョン)

概要

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We propose an algorithm to detect characters in images. The proposed algorithm consists of three phases: training, candidate area detection, and character detection. In training phase, a classifier to detect the character is generated from several haar-like feature-based weak classifiers by using Adaboost. In candidate area detection phase, one haar-like feature is used to define the area to search characters. And in character detection phase, the generated Adaboost-based classifier is used to detect the character in the defined area. We performed preliminary experiments to evaluate the proposed algorithm using 13 images. The experimental results show that some character on homogeneous background can be detected by this algorithm.
一般社団法人日本機械学会の論文
2011-05-26