AdaBoost算法在喷码图像识别的应用

Application of AdaBoost algorithm in spray code recognition

喷码在印刷中使用比较普遍,其识别通常采用模板匹配的方法,但是由于喷码常出现误差,为模板匹配方法识别带来难度。AdaBoost是一个建构准确分类器的学习算法,文中将此算法应用于喷码图像的识别,不仅提高了识别的准确率,速度也更为理想。

Spray codes are widely used in printing. Template matching is usually adopted to recognize them. But because the spray codes often have errors, it is not easy to recognise the codes exactly with template matching. AdaBoost is a learning algorithm to construct classers. In this paper, the algorithm was used in the recognition of spray codes. It can not only improve the recognition accuracy, but also get more satisfactory speed.