基于最小二乘原理的牛眼虹膜分割方法

近年来,动物虹膜识别有成为一种新的动物标识技术的趋势,对于肉类食品安全控制具有潜在的应用价值.提出了一种基于最小二乘原理的牛眼虹膜分割方法,根据牛眼虹膜的结构特征,利用最小二乘原理分别进行内外椭圆拟合.内椭圆利用牛眼瞳孔的边缘直接拟合;外椭圆通过在牛眼虹膜外边缘点中随机选择若干个边缘点来拟合,避免了外边缘点的噪声影响,然后通过计算外边缘点和拟合外椭圆间的距离来寻找最合适的外椭圆;最后通过几何方法进行牛眼虹膜归一化.实验结果表明,该方法与其他传统算法相比,运算速度快,具有较好的拟合精度.

A Cattle Iris Segmentation Method Based on Least Square Principle

In recent years, the animal iris recognition tend to become a new animal identification technology, which has potential applications to control the safety of the meat products. This paper presents an approach to cattle iris segmentation. The inner and outer boundaries of cattle iris are fitted respectively as two ellipses which are detected by following the least square principle, according to the feature of cattle iris structure. The inner ellipse is fitted by the edge points on the boundary of pupil. The outer ellipse is fitted by the edge points which are selected randomly on the boundary of iris in order to reduce the influence of the noise on the outer edge. The distance between the outer edge points and the fitted ellipses is calculated to decide the best outer ellipse in the cattle iris image. Normalization is carried out using a geometric method. Experimental results indicate the efficiency of the proposed approach.