Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This article focuses on the writer verification using safe handwritten passwords on smartphones.  extract and select 25 static and dynamic biometric features from a handwritten character password sequence on an android touch-screen device. For the writer verification  use the classification algorithms of WEKA framework. Our 32 test persons wrote generated safe passwords with a length of 8 characters. Each person wrote their password 12 times. The approach works with 384 training samples on a supervised system. The best result of 98.72% success rate for a correct classification, the proposal reached with the KStar and k- Nearest Neighbor classifier after ranking with Fisher Score feature selection. The best result of 10.42% false accepted rate is reached with KStar classifier.
['Tobias Kutzner', 'Fanyu Ye', 'Ingrid Bonninger', 'Carlos M. Travieso', 'Malay Kishore Dutta', 'Anushikha Singh']
I am writing a research paper on a idea User verification using safe handwritten passwords on smartphones
[{"from": "human", "value": "I am writing a research paper on a idea User verification using safe handwritten passwords on smartphones"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This article focuses on the writer verification using safe handwritten passwords on smartphones.  extract and select 25 static and dynamic biometric features from a handwritten character password sequence on an android touch-screen device. For the writer verification  use the classification algorithms of WEKA framework. Our 32 test persons wrote generated safe passwords with a length of 8 characters. Each person wrote their password 12 times. The approach works with 384 training samples on a supervised system. The best result of 98.72% success rate for a correct classification, the proposal reached with the KStar and k- Nearest Neighbor classifier after ranking with Fisher Score feature selection. The best result of 10.42% false accepted rate is reached with KStar classifier."}]