基于矢量场卷积的虹膜定位

Iris location algorithm by vector field convolution

  • 摘要: 为了提高虹膜定位的精度和准确性,从而进一步提高虹膜识别系统的识别率,提出了一种基于矢量场卷积(Vector Field Convolution,VFC)的虹膜定位算法,用于精确定位虹膜内边界。首先利用最小灰度平均值法自动确定VFC模型的初始化轮廓,在活动轮廓内外力作用下实现虹膜内边界定位;然后对于虹膜外边界,采用改进的Daugman算法进行定位。利用多个虹膜图库进行了大量实验,并与几种常见的虹膜定位算法进行了比较,实验结果表明:该方法定位准确度更高,虹膜内边界定位更接近真实边界,定位结果有明显改善。

     

    Abstract: In order to improve the precision and accuracy of iris location, and furthermore enhance the recognition rate of the iris recognition system, a iris location algorithm based on Vector Field Convolution (VFC) was proposed to locate the iris inner boundary accurately. Firstly, minimum grey value method was used to determine initialization contour of VFC model automatically, so that the iris inner boundary could be located precisely under the internal and external force of active contour, then the improved Daugman algorithm was adopted to locate the iris outer boundary. Performed abundant experiments make use of several iris image databases, and also compared with common several kinds of iris localization methods. The experimental results show that the location accuracy of this method is higher, the iris inner edge location is much closer to the real boundary, and the result of location have been improved significantly.

     

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