基于支持向量机眼动模型的活性判别算法
Liveness Check Algorithm Based on Eye Movement Model Using SVM
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摘要: 提出一种基于支持向量机眼动模型的活性判别算法.该算法通过大量的人眼的样本来训练基于支持向量机的眼动模型,然后在活性判别过程中,通过被识别人进行眨眼的配合动作来完成活性判别的过程.由于人脸照片不可能做出眨眼的配合动作,因此照片就被成功地排除在了人脸识别系统的外面,从而提高了人脸自动识别系统的安全性.Abstract: We solved the liveness check problem using a Support Vector Machine based eye movement model. We trained the eye movement model using many eye state examples. And In the liveness check procedure, the user has to blink his/her eyes to get through the check. The photos, which can not blink, are successfully stopped before entering the recognition stage.
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