据外媒报道,当地时间12月17日,现代汽车公司(Hyundai Motor Co.)宣布.已经研发出一种指纹认证系统,可用于开启车门和启动汽车。该系统可让驾驶员在没有钥匙的情况下,利用预先登记的指纹开启车门并且启动汽车。一旦触摸到汽车门把手传感...据外媒报道,当地时间12月17日,现代汽车公司(Hyundai Motor Co.)宣布.已经研发出一种指纹认证系统,可用于开启车门和启动汽车。该系统可让驾驶员在没有钥匙的情况下,利用预先登记的指纹开启车门并且启动汽车。一旦触摸到汽车门把手传感器,驾驶员的加密指纹数据就会被传送至汽车内部的控制器,然后汽车会被解锁。车内的启动按钮也配备了一个指纹传感器,触摸该按钮就可启动汽车。该公司将首先将该系统应用于其Santa Fe SUV车型,该车计划将于2019年第一季度在中国上市。展开更多
Fingerprint authentication system is used to verify users' identification according to the characteristics of their fingerprints.However,this system has some security and privacy problems.For example,some artifici...Fingerprint authentication system is used to verify users' identification according to the characteristics of their fingerprints.However,this system has some security and privacy problems.For example,some artificial fingerprints can trick the fingerprint authentication system and access information using real users' identification.Therefore,a fingerprint liveness detection algorithm needs to be designed to prevent illegal users from accessing privacy information.In this paper,a new software-based liveness detection approach using multi-scale local phase quantity(LPQ) and principal component analysis(PCA) is proposed.The feature vectors of a fingerprint are constructed through multi-scale LPQ.PCA technology is also introduced to reduce the dimensionality of the feature vectors and gain more effective features.Finally,a training model is gained using support vector machine classifier,and the liveness of a fingerprint is detected on the basis of the training model.Experimental results demonstrate that our proposed method can detect the liveness of users' fingerprints and achieve high recognition accuracy.This study also confirms that multi-resolution analysis is a useful method for texture feature extraction during fingerprint liveness detection.展开更多
文摘据外媒报道,当地时间12月17日,现代汽车公司(Hyundai Motor Co.)宣布.已经研发出一种指纹认证系统,可用于开启车门和启动汽车。该系统可让驾驶员在没有钥匙的情况下,利用预先登记的指纹开启车门并且启动汽车。一旦触摸到汽车门把手传感器,驾驶员的加密指纹数据就会被传送至汽车内部的控制器,然后汽车会被解锁。车内的启动按钮也配备了一个指纹传感器,触摸该按钮就可启动汽车。该公司将首先将该系统应用于其Santa Fe SUV车型,该车计划将于2019年第一季度在中国上市。
基金supported by the NSFC (U1536206,61232016,U1405254,61373133, 61502242)BK20150925the PAPD fund
文摘Fingerprint authentication system is used to verify users' identification according to the characteristics of their fingerprints.However,this system has some security and privacy problems.For example,some artificial fingerprints can trick the fingerprint authentication system and access information using real users' identification.Therefore,a fingerprint liveness detection algorithm needs to be designed to prevent illegal users from accessing privacy information.In this paper,a new software-based liveness detection approach using multi-scale local phase quantity(LPQ) and principal component analysis(PCA) is proposed.The feature vectors of a fingerprint are constructed through multi-scale LPQ.PCA technology is also introduced to reduce the dimensionality of the feature vectors and gain more effective features.Finally,a training model is gained using support vector machine classifier,and the liveness of a fingerprint is detected on the basis of the training model.Experimental results demonstrate that our proposed method can detect the liveness of users' fingerprints and achieve high recognition accuracy.This study also confirms that multi-resolution analysis is a useful method for texture feature extraction during fingerprint liveness detection.
