摘要
由于接触式图像传感器光源、光敏芯片和温度等综合因素的影响,金融电子装备采集到的纸币图像会存在偏色现象,降低了纸币识别算法的性能。针对此种情况,文中给出了一种基于迭代算法的纸币图像偏色检测和校正方法,在图像偏色检测方面采用等效圆的偏色检测方法进行评价,在图像校正方面采用了伽马校正的方法进行偏色校正,有效改善了纸币采集系统不同程度的偏色给算法识别带来的干扰,并减少了工程技术人员2/3的调试时间,增强了纸币识别算法的普适性。
The light source,photosensitive chip and operating temperature of the CIS may lead to partial color in the banknote image acquisition,which affects the performance of the recognition algorithm. Color correction method for banknote image based on iterative algorithm is proved. Equivalent circle method and Gamma transaction are used concretely. These methods relieve the interference of the partial color,increase the efficiency of the engineering technical personnel,and improve the performance of the recognition algorithm.
出处
《电子科技》
2015年第12期107-109,113,共4页
Electronic Science and Technology
关键词
纸币图像
偏色检测
偏色校正
迭代算法
banknote image
color detection
color correction
iterative algorithm
