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An effective identification system of Myanmar National Registration Card (NRC) holder

机译:缅甸国家注册卡(NRC)持有人的有效身份识别系统

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Nowadays the personal identification is very important for the security system. Face recognition plays one of the most important fields in automated biometric identification system. An automatic personal identification system of ID is developed. This system is based on the eigen vector of face template features. This research is focused on the identification of Myanmar National Registration Card (NRC) holder. This system can extract the personal information and determine authorized person or unauthorized person. Since many NRC cards are issued more than 10 years ago, there have low quality face images in these cards. For examining the correspondence rates between current face and face on card, the age invariant face recognition system is developed. Therefore there is no such face recognition system from low quality image of Myanmar NRC card. Only 2% and 10% errors are occurred for one-to-one matching and one-to-many matching of individuals, respectively.
机译:如今,个人识别对安全系统非常重要。人脸识别在自动生物识别系统中扮演着最重要的领域之一。开发了ID自动个人识别系统。该系统基于面部模板特征的特征向量。这项研究的重点是识别缅甸国家注册卡(NRC)持有人。该系统可以提取个人信息并确定授权人员或未授权人员。由于许多NRC卡是在10年前发行的,因此这些卡中的人脸图像质量较低。为了检查当前人脸与卡上人脸之间的对应率,开发了年龄不变的人脸识别系统。因此,没有来自缅甸NRC卡的低质量图像的面部识别系统。一对一匹配和一对多匹配分别仅发生2%和10%的错误。

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