低质量虹膜图像识别方法研究

The Research of Low Quality Image Recognition Method Based on Iris Images

对于不同传感器不同时间段获取的多幅低质量虹膜图像,采用图像融合技术对其进行处理。根据虹膜图像瞳孔缩放非刚性形变的特点,提出用曲线拟合的方法进行虹膜图像的配准,将配准后的虹膜图像利用像素级的小波融合方法进行融合,最终目的是将多幅缺失信息的低质量虹膜图像融合成一幅含有更为丰富信息的虹膜图像,并以此构建新的虹膜图像库用于虹膜识别领域。实验表明,该方法使低质量虹膜图像在识别精度上得到了进一步的提升。

For lots of low quality iris images which obtained from different sensors at different periods of time,using the image fusion tech nology to process it.According to the non-rigid deformation characteristics of iris image zoom pupil,proposed using curve fitting technol ogy in iris image registration.Then the registered iris image using pixel level fusion method of wavelet fusion for fusion,the ultimate aim is to make the missing pieces information of low quality iris images fused into an iris image which contains richer informations,and build a new iris image database for the field of iris recognition..The experimental results show that this method has futrher promoted the accuracy of low quality iris images recognition.