Valuable media substrate validation
Front side, reverse side, and transmissive images for a media item are obtained during a transaction at a transaction terminal wherein the media item is being processed by or urged through the transaction terminal during the transaction. A substrate image is derived from the front side, reverse side, and transmissive images. Features are extracted from the substrate image and compared against model features for a given type and a given denomination associated with the media item. A decision is made as to whether the media item is genuine or counterfeit based on the comparison between the extracted features and the model features, and the indication is provided to the transaction terminal during the transaction.
1. A method, comprising:
obtaining a first image of a front-side printing layer for a media item and obtaining a second image of a reverse-side printing layer for of the media item;
acquiring a transmissive image of the media item;
deriving a substrate image for a substrate layer of the media item or a substrate of the media item from the first image, the second image, and the transmissive image; and
providing an indication as to whether the media item is genuine or counterfeit based on a comparison of the substrate image to a model substrate image for the media item.
2. The method of claim 1 , wherein obtaining further includes obtaining the first image from a front side of the media item and the second image from a reverse side of the media item.
3. The method of claim 2 , wherein acquiring further includes obtaining the transmissive image as an image obtained from light captured on the front side of the media item when passed from a light source through the reverse side of the media item.
4. The method of claim 3 , wherein acquiring further includes obtaining the first image, the second image, and the transmissive image in a green light spectrum.
5. The method of claim 4 , wherein deriving further includes calculating the substrate image by subtracting a sum of the first image and the second image from the transmissive image to derive the substrate image.
6. The method of claim 1 , wherein deriving further includes calculating the substrate image from pixel values associated with the first image, the second image, and the transmissive image.
7. The method of claim 1 , wherein calculating further includes summing first pixels values associated with the first image and the second image producing a sum, and subtracting the sum from second pixel values associated with the transmissive image deriving the substrate image.
8. The method of claim 1 , wherein providing further includes scoring features extracted from the substrate image producing a substrate score.
9. The method of claim 8 , wherein scoring further includes comparing the substrate score to a model substrate score associated with the model substrate image determining the indication.
10. The method of claim 1 further includes integrating the method into existing media validation processes as an enhancement for media substrate validation.
11. A method, comprising:
capturing substrate features for substrates associated with media items of a given type and a given denomination during a training session;
producing a substrate model from the substrate features;
receiving a first image of a front-side printing layer for a particular media item, receiving a second image of a reverse-side printing layer for the particular media item, and receiving a transmissive image of the particular media item, wherein the particular media item comprising having the given type and the given denomination during a transaction at a Self-Service Terminal (SST);
deriving a substrate image for a particular substrate of the particular media item from the first image, the second image, and the transmissive image;
extracting particular features from the substrate image;
comparing the particular features to the substrate features of the substrate model; and
providing an indication during the transaction to the SST as to whether the particular media item is genuine or counterfeit based on the comparing.
12. The method of claim 11 further comprising, process the method within a media validation module of the SST as an extension to existing media validation processes.
13. The method of claim 11 , wherein capturing further includes deriving substrate images from front side images, reverse side images, and transmissive images of the media items and extracting the substrate features from the substrate images.
14. The method of claim 11 , wherein producing further includes scoring the substrate features producing a model score for the substrate model.
15. The method of claim 14 , wherein receiving further includes obtaining the first image from a front side of the particular media item, the second image from a reverse side of the particular media item, and the transmissive image from light captured passing through the reverse side of the particular media item, through a media substrate of the particular media item, and captured at the front side.
16. The method of claim 15 , wherein deriving further includes adding pixel values for the first image and second image together producing a sum, and subtracting the sum from pixel values for the transmissive image producing the substrate image.
17. The method of claim 16 , wherein extracting further includes scoring the particular features producing a score.
18. The method of claim 17 , wherein comparing further includes comparing the model score against the score determining the indication.