Image based counterfeit detection
Systems and methods for authenticating material samples are provided. Digital images of the samples are processed to extract computer-vision features, which are used to train a classification algorithm. The computer-vision features of a test sample are evaluated by the trained classification algorithm to identify the test sample.
1. An anti-counterfeiting system comprising:
a graphical user interface (GUI) provided to a mobile device, the mobile device being capable of obtaining, via the GUI, one or more digital images for a sample to be tested;
a computation component functionally connected to the mobile device, configured to receive the images from the GUI, and process the images to extract computer-vision features from the images, comprising to extract one or more patches for each image and convert the patch into a patch feature vector for each patch, the patch feature vector representing a material property of the respective patch; and
a trained classification algorithm associated with the computation component, the trained classification algorithm being configured to evaluate the computer-vision features of the sample to identify the sample, and return a decision to the GUI of the mobile device.
2. The system of claim 1 , wherein the computation component is further configured to obtain a plurality of filtered patch images for each patch.
3. The system of claim 1 , further comprising a database functionally connected to the computation component, and configured to store image data.
4. The system of claim 1 , wherein the GUI includes a visual aide to guide a user to obtain the images.