TY - JFULL AU - Seyed Nima Tayarani Bathaie PY - 2013/1/ TI - Design and Implementation of an Image Based System to Enhance the Security of ATM T2 - International Journal of Computer and Information Engineering SP - 1597 EP - 1601 VL - 7 SN - 1307-6892 UR - https://publications.waset.org/pdf/9996919 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 84, 2013 N2 - In this paper, an image-receiving system was designed and implemented through optimization of object detection algorithms using Haar features. This optimized algorithm served as face and eye detection separately. Then, cascading them led to a clear image of the user. Utilization of this feature brought about higher security by preventing fraud. This attribute results from the fact that services will be given to the user on condition that a clear image of his face has already been captured which would exclude the inappropriate person. In order to expedite processing and eliminating unnecessary ones, the input image was compressed, a motion detection function was included in the program, and detection window size was confined. ER -