CAJ | 학술논문

通过普通摄像头得到的虹膜图像的纹理通常是模糊的，不能直接用于虹膜识别；先对虹膜图像获取、内外边缘定位，然后采用基于B样条的FFD模型对图像进行配准，采用小波变换对图像进行融合，然后对图像进行二值化和特征提取处理；对虹膜识别中的算法进行改进，提出了一种嵌入式虹膜识别算法，对该算法的实验表明，算法运算速度快，精度高，性能稳定，适合在嵌入式系统中应用。
통과보통섭상두득도적홍막도상적문리통상시모호적，불능직접용우홍막식별；선대홍막도상획취、내외변연정위，연후채용기우B양조적FFD모형대도상진행배준，채용소파변환대도상진행융합，연후대도상진행이치화화특정제취처리；대홍막식별중적산법진행개진，제출료일충감입식홍막식별산법，대해산법적실험표명，산법운산속도쾌，정도고，성능은정，괄합재감입식계통중응용。
The textures of iris images taken by an ordinary camera are usually blurred and can not be direcny used for iris recognition. Firstly, iris images are taken and inside and outside edges are positioned, then FED Model based on B-spline is used to register the images and wavelet transform is used for image fusion,then the images are processed by binaryzation and feature extraction. This paper improves the algorithm for iris recognition and proposes embedded iris recognition algorithm. The experiment on this algorithm shows that the arithmetic speed of the algorithm is rapid, highly accurate and stable and that this system is fit for being used in embedded system.