Validation of damaged banknotes
Systems and methods for validation of a media object may include receiving the media object and detecting, using a sensor, a damaged portion of the media object. The media object may be validated against a standard. During the validation of the media object, the damaged portion of the media object may be given less weight.
1. A method of validation of a media object, the method comprising:
receiving, at a self-service terminal, the media object;
passing, by the self-service terminal, infrared light through the media object via a light source associated with the self-service terminal;
receiving, at a processor of the self-service terminal, a reflective image of the media object and a transmissive image of the media object;
determining, using an infrared sensor of the self-service terminal, that a security feature of the media object is present;
detecting, using the infrared sensor of the self-service terminal, a damaged portion of the security feature, wherein detecting the damaged portion of the security feature includes detecting a lack of attenuation of the infrared light passed through the security feature by detecting:
a white color present in the transmissive image, and
a black color present in the reflective image;
validating, by the self-service terminal, the media object against a standard, wherein the damaged portion of the security feature is given less weight during validation; and
accepting or rejecting, by the self-service terminal, the media object based on validation of the media object,
wherein the damaged portion of the security feature includes a missing portion of the security feature.
2. The method of claim 1 , wherein detecting the damaged portion of the security feature includes creating a data map of the security feature.
3. The method of claim 2 , wherein creating the data map includes assigning a value for each pixel of an image of the security feature.
4. The method of claim 1 , wherein validating the media object against the standard includes comparing an average pixel value for pixels of an image of the security feature against a known pixel average for the security feature.
5. The method of claim 1 , wherein the sensor includes an infrared camera and detecting the damaged portion of the security feature includes capturing an image of the security feature using the infrared camera.
6. The method of claim 1 , wherein the damaged portion of the media object includes a folded portion of the security feature.
7. A self-service terminal including a system for validating a media object, the system comprising:
an infrared sensor;
a processor; and
a memory storing instructions that, when executed by the processor, cause the processor to perform operations comprising:
receiving, from the infrared sensor, reflective and transmissive images of the media object,
determining that a security feature of the media object is present;
detecting a damaged portion of the security feature based on the reflective and transmissive images of the media object, wherein detecting the damaged portion of the security feature includes detecting a white color present in the transmissive image and a black color present in the reflective image, the white and black colors representing a lack of attenuation of infrared light,
validate the media object against a standard, wherein the damaged portion of the security feature is given less weight during validation, and
accepting or rejecting the media object based on validation of the media object,
wherein the damaged portion of the security feature includes a missing portion of the security feature.
8. The self-service terminal of claim 7 , wherein detecting the damaged portion of the security feature includes creating a data map of the security feature.
9. The self-service terminal of claim 8 , wherein creating the data map includes assigning a value for each pixel of an image of the security feature.
10. The self-service terminal of claim 7 , wherein validating the media object against the standard includes comparing an average pixel value for pixels of an image of the security feature against a known pixel average for the security feature.
11. The self-service terminal of claim 7 , wherein the sensor includes an infrared camera.
12. The self-service terminal of claim 7 , wherein the damaged portion of the security feature includes a folded portion of the security feature.
13. An automated teller machine including a document validation module comprising:
a camera operable to capture both a transmissive image and a reflective image of a media object;
a processor operable to:
receive the transmissive image and the reflective image from the camera,
determine that a security feature of the media object is present,
detect a damaged portion of the security feature based on a transmissivity value associated with each pixel of the image, wherein detecting the damaged portion of the security feature includes detecting a lack of attenuation of infrared light passed through the security feature and the presence of a black color for the reflective image and a white color for the transmissive image,
validate the media object against a standard, wherein the damaged portion of the security feature is given less weight during validation, and
accepting or rejecting the media object based on validation of the media object,
wherein the damaged portion of the security feature includes a missing portion of the security feature.
14. The automated teller machine of claim 13 , wherein detecting the damaged portion of the security feature includes creating a data map of the security feature.
15. The automated teller machine of claim 14 , wherein creating the data map includes assigning a value for each pixel of an image of the security feature.
16. The automated teller machine of claim 13 , wherein the damaged portion of the security feature includes a folded portion of the security feature.
17. The automated teller machine of claim 13 , wherein the document validation module is a component of one an automated teller machine, a self-service terminal, a slot machine, or a vending machine.