User verification using safe handwritten passwords on smartphones

摘要: This article focuses on the writer verification using safe handwritten passwords smartphones. We extract and select 25 static dynamic biometric features from a character password sequence an android touch-screen device. For we use classification algorithms of WEKA framework. Our 32 test persons wrote generated with length 8 characters. Each person their 12 times. The approach works 384 training samples supervised system. best result 98.72% success rate for correct classification, proposal reached KStar k- Nearest Neighbor classifier after ranking Fisher Score feature selection. 10.42% false accepted is classifier.