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Received:March 12, 2017 Revised:March 27, 2017
Received:March 12, 2017 Revised:March 27, 2017
中文摘要: 针对传统身份识别技术存在的密码记忆难、隐私易泄露、信息易伪造等问题,提出并实现了基于安卓平台的混合特征在线手写笔迹识别算法. 本算法通过迁移传统笔迹采集平台、采用文本相关与文本无关相结合的方式分别对静态纹理特征和动态矢量特征进行提取,弥补了当前笔迹采集困难、信息易伪造、准确性差等缺陷,实现了用户在移动设备上更加快捷安全的进行身份识别和鉴定. 通过实验得出:该笔迹识别算法具有良好的稳定性、高可重复性、优良的准确性和安全防伪能力,能够有效阻止陌生用户的攻击,具有较高的安全保障性能.
Abstract:In view of the problems like the difficulty in memorizing passwords, privacy issues and fake information, a new algorithm combined the static and dynamic features based on the android platform for online handwriting recognition is proposed. The proposed algorithm extracts the static texture and dynamic vector features by adopting the combination of text-dependent and text-independent ways on the new smart mobile devices platform. The problems of handwriting acquisition, fake information and less accuracy are solved. It's safe and fast for identification on mobile devices. The experimental results show the proposed algorithm has a great performance in stability, repeatability, accuracy and safety. It can effectively block the attack from intrusion and is high in security.
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陈子炜,洪思云,林劼,石琳.基于用户笔迹的移动身份识别技术.计算机系统应用,2017,26(12):191-195
CHEN Zi-Wei,HONG Si-Yun,LIN Jie,SHI Lin.Identity Recognition Technology Based on the Users' Handwriting.COMPUTER SYSTEMS APPLICATIONS,2017,26(12):191-195
陈子炜,洪思云,林劼,石琳.基于用户笔迹的移动身份识别技术.计算机系统应用,2017,26(12):191-195
CHEN Zi-Wei,HONG Si-Yun,LIN Jie,SHI Lin.Identity Recognition Technology Based on the Users' Handwriting.COMPUTER SYSTEMS APPLICATIONS,2017,26(12):191-195