TY - JOUR
AU - 
AB - International Journal of Machine Learning and Computing, Vol. 9, No. 4, August 2019 Personal Verification System Using ID Card and Face Photo Adulwit Chinapas, Pattarawit Polpinit, Narong Intiruk, and Kanda Runapongsa Saikaew comparison is face detection which has been studied for Abstract—Generally, the process of verifying a person’s several years. There are a variety of approaches for face identification in a bank is accomplished by an officer comparing detection. The most popular methods are the Haar Classifier a photo in an ID card with the actual face of the person. This [3] and CNN [4] because Haar Classifier is easy to implement process is prone to mistake as officers usually need to serve and CNN is quite accurate. Several widely used libraries that several people in a short time. This article proposes the personal employ a Haar classifier include OpenCV and Dlib. On the verification system using an ID card and face photo by applying other hand, Facenet and ArcFace apply MTCNN [5] which is face detection and face comparison. A system based on several open source libraries for face recognition including Dlib, a type of CNN. In this article, MTCNN was chosen because it Facenet, and ArcFace is 
TI - Personal Verification System Using ID Card and Face Photo
JF - International Journal of Machine Learning and Computing
DO - 10.18178/ijmlc.2019.9.4.818
DA - 2019-08-01
UR - https://www.deepdyve.com/lp/unpaywall/personal-verification-system-using-id-card-and-face-photo-CE2XXVPH3U
DP - DeepDyve
ER -