Abstract
Abstract: In today’s world almost all the big institutions face significant security issues; thus, they need a few uniquely prepared staff to satisfy the necessary security. These work force, as being human, commit errors which might influence the degree of safety. A proposed answer for the previously mentioned problem could likewise be a Face Recognition Security System, which can distinguish gate crashers to confined or high security regions and help in limiting human mistake. So far, we have studied the image comparison techniques and tested the same against our dataset of sample images. Our program can almost accurately separate two similar or dissimilar images. We have further tested our sample images against different backgrounds, angles, size etc. and observed the output. We have also done the facial recognition part, i.e., we are able to detect faces and match it with that face from our database and show the result. Finally, we have done iris recognition by comparing static images of iris which gives us an output by showing whether the iris matches or not. Also, in this report we have discussed about our future plan.
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