ID Card Detection with Facial Recognition using Tensorflow and OpenCV
M Kushal, Kushal Kumar B.V., Charan Kumar M.J., Massimiliano Pappa
20202020 Second International Conference on Inventive Research in Computing Applications (ICIRCA)19 citationsDOI
Abstract
The main goal of computer vision is to identify and recognize different objects of various size, shape and position. The major problems faced by the computer vision is the illumination and the viewpoint of the object, Concerning this and by following multiple studies recurring to deep learning with the use of Convolution Neural Networks on detecting and recognizing objects that showed a high level of accuracy and precision on these tasks. To facilitate object detection in a college environment, the proposed work identifies the presence of a person wearing an ID card using tensor flow object detection API, detects and recognizes the face using haar cascade method of OpenCV.
Topics & Concepts
Artificial intelligenceComputer scienceComputer visionHaar-like featuresObject detectionFace detectionFace (sociological concept)Cognitive neuroscience of visual object recognitionObject-class detectionObject (grammar)Viola–Jones object detection frameworkDeep learningConvolutional neural networkPattern recognition (psychology)Convolution (computer science)Facial recognition systemArtificial neural networkSocial scienceSociologyAdvanced Neural Network ApplicationsCurrency Recognition and DetectionFace recognition and analysis