1. 重庆后勤工程学院
2. 重庆大学光电技术及系统教育部重点实验室
3. 重庆大学通信工程学院
4. 重庆市土地勘测规划院,重庆,400040
5. ,重庆,400030
纸质出版:2008
移动端阅览
[1]马泽忠,黄鸿,穆光辉,许江红.基于图像质量评价的嵌入式指纹采集系统[J].传感器与微系统,2008(04):89-91.
MA Ze-zhong1, HUANG Hong3, MU Guang-hui4, et al. Embedding fingerprint capture system based on image quality evaluation algorithm[J]. 2008, (4): 89-91.
[1]马泽忠,黄鸿,穆光辉,许江红.基于图像质量评价的嵌入式指纹采集系统[J].传感器与微系统,2008(04):89-91. DOI: 10.13873/j.1000-97872008.04.015.
MA Ze-zhong1, HUANG Hong3, MU Guang-hui4, et al. Embedding fingerprint capture system based on image quality evaluation algorithm[J]. 2008, (4): 89-91. DOI: 10.13873/j.1000-97872008.04.015.
指纹图像质量的好坏对于嵌入式自动指纹识别系统的性能有着重要的影响。利用FPS200的参数可调的特征及其指纹图像本身的方向特征
提出了一种新的针对FPS200指纹传感器获取的图像质量评估方法。通过方向图检查其有效面积与图像的清晰程度
判断图像质量是否合格。若不合格
则调整FPS200的参数
直至获得高质量的指纹图像。实验表明:该方法可以明显提高嵌入式指纹识别系统的整体性能。
Fingerprint image quality evaluation is crucial in eliminating poor fingerprint images.This will heavily affect the performance of embedded automatic fingerprint identification system.A new method based on the intrinsic directional features of fingerprint is proposed to evaluate the quality of images captured by FPS200 sensor.Using directional map
the available area of image and clearness are checked to calculate the overall image quality score that can be used to quantitatively determine the quality of the fingerprint image.If the quality of image is unsatisfied
then embedded AFIS adjusts the parameters of FPS200 sensor automatically until image of good quality is captured.The result shows that this method indeed can improve the performance of embedded AFIS.
DSP在嵌入式自动指纹识别系统中的应用 [J]. 黄鸿,李见为,何为. 微计算机信息 . 2006(23)
民用指纹识别技术[M]. 人民邮电出版社 , 柴晓光,岑宝炽编著, 2004
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