摘要
随着指纹识别技术的发展和嵌入式系统的广泛应用,指纹识别逐渐向嵌入式方向发展。针对ARM9嵌入式开发平台,提出了一种适合于嵌入式系统的指纹图像预处理算法。该算法改进了传统的Gabor增强,消除了奇异点处脊线断裂和错连的问题,并采用了复合细化算法对二值图像进行细化以及细化去噪处理。实验表明,该算法具有良好的实用性和快速性,满足了嵌入式指纹识别系统的要求。
With the development of fingerprint identification technology and the wide application of embedded systems,fingerprint identification develops gradually to embedded system.This paper proposes a pre-processing system for fingerprint images adapting to embedded system in allusion to the embedded developing platform of ARM9.This algorithm improves traditional Gabor enhancement to avoid spinal thread rupturing and wrong linking,moreover,it adopts composite thinning algorithm to thin binary image and denoises after thinning.The experiments show that this algorithm has good practicality and rapidness,and satisfies the requirements of the embedded fingerprint identification system.
出处
《计算机应用与软件》
CSCD
2010年第1期255-256,279,共3页
Computer Applications and Software
