摘要
利用虹膜图像中丰富的结构和纹理特征作为身份鉴别的依据,与其他生物特征识别相比,具有更高的可靠性。根据虹膜内外灰度差,采用二值化方法提取瞳孔,用Canny算子精确定位虹膜的内边缘,利用微分积分算子定位外边缘,并对虹膜进行归一化、校准、增强等预处理;再利用2D-Gabor滤波提取纹理特征,最后比较Hamming距离,进行匹配与识别。实验结果表明,该方法效果良好,识别率高。
Iris recognition has high reliability in identity authentication compared with other biologic ones thanks employing abundant structure and texture feature.According to the intensity difference between inner and outer iris,this paper extracts pupil via binary processing,locates the interior and outer boundary by canny and differential integral operator,respectively and extract texture feature by 2D-Gabor filter offer preprocess such as normalization,calibration and enhancement,finally matches and identified the feature by comparison of Hamming distance.The result of experiment shows this method is of good effect and high recognition rate.
出处
《计算机与数字工程》
2010年第6期135-137,共3页
Computer & Digital Engineering
