Real-Time Facial Components Detection Using Haar Classifiers

Abstract

Face detection is the process of identifying a face in an image with the help of facial characteristics. Detection of the face with other facial characteristics such as eyes, nose, and smile can help in solving many real-world problems such as Product rating, patient monitoring in hospitals as well as image Capturing, conference videos, etc. The application of real-time smile detection could also be integrated with facial recognition to make it more viable and effective for use. To detect a face and its components the system uses Haar features. Haar features have a resemblance to the convolution kernel, which is used to detect the presence of a particular feature in an image. The Difference Between the values present under the Dark region and the pixels present under the White region results in a single Value. The value is then compared to the threshold, If the value is Greater than the threshold then a human face is detected. Here, The integral image also plays a very important role in detecting a face and its features, it is used to calculate the sum of all pixels inside a rectangle by just using the corner values of a rectangle. Adaboost is also used to remove irrelevant features from a given set of features, Leaving behind only the relevant set of features. At last cascading is used to group the strong classifiers into stages. So, Each stage consists of a set of features that are very crucial in detecting whether a given image is a face or not. If Not, the image is discarded immediately. The Proposed Model detects a face by Capturing the Frames in real-time from a Webcam Feed, Converts the Captured Frames into Grayscale as it Requires Less Processing to be Done. The Haar Cascade Xml Files are used which Consist of a Necessary set of Haar Features required for face detection in a frame. There are Separate Xml Files that Consist of a Necessary set of features that Could be used for the detection of Other Body Parts. To Detect Facial Components such as Eyes and Nose or even a Smile, Haar Cascade Xml Files are used. A complete Facial Detection System with Real-Time Smile Detection Has Numerous Applications in Medical Sectors such as Emotion Detection, Sentiment Analysis, Etc., It can be Even used in the Improvement of a Business Model Enhancing the Feedback System which in turn Improves the Overall Customer Experience, Leading to Growth in Business.