Abstract
Facial recognition is now a days is very emerging topic. The most challenging task for normal human being is to follow the facial recognition retrieval model for correct match in the least running time. Especially while dealing with moving or non-static environment like live video, webcam recording, or accessing real-time video in which facial features are not clear as to take as input image. Comparison between two different approached has been presented in this paper, linear binary pattern Haar technique is compared by deep learning using neural networks, different images of different persons has been taken, deep learning approach is more accurate according to different angles the video taken or any distance the video captured either for moving or static objects either from Mobile Video Camera or CCTV Camera then LPBH approach.
Highlights
First we provided training images and loop over them one by one, after finding any face we will directly put that face location in an array variable here not that no any facial matching points are extracted just complete face location area is stored in numerical array form in one array variable one by one
After training it is time to test, so we will take new images of that person and for detection it is required that only single face should be present since this techniques lacks for multiple detection at a time. It will be initialize Local Binary Pattern (LBP) Recognizer and pass it on the array of that Faces we have stored and we pass our Face location of detected face in test image from HAAR. What it does that it will match the histogramatic changes or patterns in both images if there exist any similarity between the both pattern it consider a match otherwise it will return some name but with very low confidence, in this we cannot determine directly whether face is unknown or not so we have added a condition in our code that if the confidence is less than 60% we consider that result as unknown by ignoring the Label or name returned by algorithm, Simulating the result conclude that the deep learning approach is more accurate according to different angles the video taken or any distance the video captured either for moving or static objects either from Mobile Video Camera or CCTV Camera LPBH approach
We have present the relative investigation of different techniques, for example, face recognition utilizing Principal Component investigation (PCA),DCT change, Linear Discriminant Analysis (LDA), neural networks,and so forth
Summary
For Face Detection we are using the HAAR Image Processing Classifier for detecting whether any face is present if yes how many and returns array of faces but since this algorithm is not accurate in detecting faces as it doesn’t work mostly on slightly angled faces which is another reason that we have concluded Deep Learning the most accurate but since HAAR doesn’t require high computing so it is very quick and almost real-time so it is suitable for real-time detection in systems where performance is bottleneck. After training it is time to test, so we will take new images of that person and for detection it is required that only single face should be present since this techniques lacks for multiple detection at a time It will be initialize LBP Recognizer and pass it on the array of that Faces we have stored and we pass our Face location of detected face in test image from HAAR. What it does that it will match the histogramatic changes or patterns in both images if there exist any similarity between the both pattern it consider a match otherwise it will return some name but with very low confidence, in this we cannot determine directly whether face is unknown or not so we have added a condition in our code that if the confidence is less than 60% we consider that result as unknown by ignoring the Label or name returned by algorithm, Simulating the result conclude that the deep learning approach is more accurate according to different angles the video taken or any distance the video captured either for moving or static objects either from Mobile Video Camera or CCTV Camera LPBH approach
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