![]() OpenCV is an open-source library written in C++. Face recognition involves 3 steps: face detection, feature extraction, face recognition. The facial picture has already been removed, cropped, scaled, and converted to grayscale in most cases. Steps to develop face recognition modelīefore moving on, let’s know what face recognition and detection are.įace recognition is the process of identifying or verifying a person’s face from photos and video frames.įace detection is defined as the process of locating and extracting faces (location and size) in an image for use by a face detection algorithm.įace recognition method is used to locate features in the image that are uniquely specified. The dataset is included with face recognition project code, which you downloaded in the previous section. For this project, let’s take the cast of the popular American web series “Friends” as the dataset. We can do this face recognition project using our own dataset. Please download the source code of python face recognition project: Face Recognition Project Code Project Dataset Now, install face_recognition module using the below command pip install face_recognition Download Face Recognition Python Code To install the face_recognition, install the dlib package first. ![]() To install the above packages, use the following command. Join DataFlair on Telegram!! Tools and Libraries Stay updated with latest technology trends
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