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Verifikasi Akun Database dengan Penerapan Metode Template Matching pada Karateristik Wajah Personal

机译:通过将匹配模板方法应用于人脸特征来验证数据库帐户

摘要

The identification of account is a step to keep the important data secure. Nowadays, it can be done by using username and password, but, after see the reality, the using of username and password can\u27t keep the data secure from the thief. Because of that, the verification of the characteristic of personal face can be a solution to change the using username and password. The method that can be used for verification is template matching.It is implemented in four features of personal face, such as left eye, right eye, nose and lips. The four images of each feature will be extracted with wavelet haar method. The feature extraction will be done during template taking process and verification. The result of this research, the result of verification is determined by two factors, such as the distance between face and web camera is different when the template taking process and the verification process and the diferrent brightness condition when the template taking process and the verification proccess. The threshold value that has been decided is not really able to block the unregistered data. Then the accuracy of the verification activity is still low and it is still not able yet to identify an account well.
机译:帐户标识是确保重要数据安全的步骤。如今,可以使用用户名和密码来完成此操作,但是,看到现实之后,使用用户名和密码无法使数据免受窃贼的侵害。因此,验证人脸特征可以作为更改使用用户名和密码的解决方案。可以用于验证的方法是模板匹配,它在人脸的四个特征中实现,例如左眼,右眼,鼻子和嘴唇。每个特征的四个图像将用小波Haar方法提取。特征提取将在模板制作过程和验证过程中完成。研究的结果是,验证的结果取决于两个因素,例如模板制作和验证过程中人脸与网络摄像机之间的距离不同以及模板制作和验证过程中人脸的亮度条件不同。 。已经确定的阈值实际上并不能阻止未注册的数据。这样,验证活动的准确性仍然很低,仍然无法很好地识别帐户。

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