基于Hu矩和支持向量机手完整性检测算法及应用  

Study on hand completeness checking algorithm based on Hu moments and SVM and its application

作　　者：刘云[1] 甘志杰[1] 

机构地区：[1]青岛科技大学信息科学技术学院,山东青岛266061

出　　处：《计算机工程与应用》2008年第30期223-225,共3页Computer Engineering and Applications

基　　金：国家自然科学基金No.60641010~~

摘　　要：为实现对手完整性的自动检测,研究了用于机动车驾驶员体检系统中的手完整性检测算法。首先把RGB图像转换到YCbCr色彩空间后对Cb通道图像进行自适应阈值分割;然后对图像采用投影法获取准确的手部图像;利用提取的手部图像Hu矩特征值作为样本数据训练SVM模型,最后利用训练好的分类器对手进行完整性识别。手完整性检测算法可以达到理想的识别精度。算法的测试结果表明对手完整性检测算法是有效的,已被成功应用于机动车驾驶员体检系统。In this paper,the hand completeness checking algorithm used in driver physical examination system is studied.Firstly, self-adaptive thresholding algorithm is used after that a RGB image is converted to the YCbCr color space.Then the hand area image is obtained by using the method of gray scale projection from the preprocessed image.Finally,extracted moment feature of the the hand image is used as the training sample data of SVM,and then the classifier is utilized in hand completeness recognition.The hand completeness checking algorithm has high precision.Testing results of the algorithm shows that the method is effecitve and it has been successfully used in the driver physical examination system.

关 键 词：手完整性检测 YCBCR色彩空间 HU矩 支持向量机 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]