摘要
指纹图像增强技术可以有效地加强指纹的脊线特征,为指纹细节的提取和匹配奠定可靠的基础,直接影响指纹识别的识别率和识别速度。用Gabor函数变换将空域的指纹图像变换到联合空间频率域,并将联合空间频率域的能量分布作为指纹的特征。Gabor函数滤波器在频域内对子块其主方向上频率能量分布进行高分辨率滤波,进行了识别匹配。实验表明,该增强算法速度快,效果好,能够准确测量出指纹图像任何区域的纹线密度,特别是对于指纹图像不规则区域的频率提取有独特的优势。
Fingerprint enhancement can improve the clarity of the ridge structures of input fingerprint image,and ensure the performance of the minutiae extraction and fingerprint matching.Fingerprint enhancement affects the fingerprint recognition rate and recognition speed directly.Gabor function transform the fingerprint image airspace to joint space frequency domain,and the joint space frequency domain of energy distribution as characteristics of fingerprint.Gabor function filter in frequency domain make the main direction frequency energy distribution of subblock for high resolution filtering,and carried on the recognition match.Experiments show that the enhancement algorithm has a good speed and effect,which can measure the ridge density of any fingerprint image ,ang especially for frequency extraction of the irregular area.
出处
《电子测试》
2011年第5期19-22,共4页
Electronic Test
关键词
指纹增强
GABOR函数
频率能量
频带
Fingerprint enhancement
Gabor function
frequency energy
frequency band
