Active OCR
A computer implemented method, system and non-transitory computer-readable device for a remote deposit environment activating, on a client device, a financial application, wherein the financial application is configured to instantiate a customer interface (UI) on the client device. Upon receiving a customer request, based on interactions with the UI, the method implements an electronic deposit of a financial instrument by activating a camera on the client device to generate a live stream of image data of a field of view of at least one camera, wherein the live stream includes imagery of at least a portion of the financial instrument. The method continues by blending common pixels from the imagery to form a blended image, and extracting by an optical character recognition program one or more data fields from the blended image of the financial instrument.
1. A computer-implemented method for a remote deposit environment, comprising:
receiving a customer request, based on interactions with an application that is configured to instantiate a user interface (UI) on a client device, to electronically deposit a financial instrument;
based on the customer request, activating a camera on the client device to generate a live stream of image data of a field of view of the camera, wherein the live stream includes imagery of at least a portion of the financial instrument;
converting, by the client device, the live stream to a plurality of byte arrays, wherein the plurality of byte arrays form a plurality of images of the financial instrument;
averaging, by the client device, pixel values of common pixels from each image frame or portion of the image frame, in the plurality of images, thereby forming a blended image; and
extracting from the blended image, by an optical character recognition (OCR) program, a first data field from the blended image and a second data field from the blended image; and
processing the remote deposit using at least the first data field and the second data field.
2. The computer-implemented method of claim 1 , wherein the live stream comprises a raw image live stream.
3. The computer-implemented method of claim 1 , wherein the plurality of byte arrays each comprises a byte array output stream object.
4. The computer-implemented method of claim 1 , further comprising communicating the first and second data fields to a remote deposit server configured to process at least the first and second data fields to complete the remote deposit.
5. The computer-implemented method of claim 1 , wherein the optical character recognition program is configured with a trained machine learning OCR model.
6. The computer-implemented method of claim 1 , wherein the client device is a mobile client device.
7. The computer-implemented method of claim 1 , wherein the common pixels are derived from bitmaps of the plurality of images of the financial instrument.
8. A system, comprising:
a memory; and
at least one processor coupled to the memory and configured to:
receive a customer request, based on interactions with an application that is configured to instantiate a user interface (UI) on a client device, to electronically deposit a financial instrument;
based on the customer request, activate a camera on the client device to generate a live stream of image data of a field of view of the camera, wherein the live stream includes imagery of at least a portion of the financial instrument;
convert, by the client device, the live stream to a plurality of byte arrays, wherein the plurality of byte arrays form a plurality of images of the financial instrument;
average, by the client device, pixel values of common pixels from each image frame or portion of the image frame, in the plurality of images, thereby forming a blended image; and
extract from the blended image, by an optical character recognition (OCR) program, a first data field from the blended image and a second data field from the blended image; and
process a remote deposit using at least the first data field and the second data field.
9. The system of claim 8 , wherein the live stream comprises a raw image live stream.
10. The system of claim 8 , wherein the plurality of byte arrays each comprises a byte array output stream object.
11. The system of claim 8 , further configured to communicate the first and second data fields to a remote deposit server configured to process at least the first and second data fields to complete a remote deposit.
12. The system of claim 8 , wherein the optical character recognition program is configured with a trained machine learning OCR model.
13. The system of claim 8 , wherein the client device is a mobile client device.
14. The system of claim 8 , wherein the common pixels are derived from bitmaps of the plurality of images of the financial instrument.
15. A non-transitory computer-readable device having instructions stored thereon that, when executed by at least one computing device, cause the at least one computing device to perform operations comprising:
receiving a customer request, based on interactions with an application that is configured to instantiate a user interface (UI) on a client device, to electronically deposit a financial instrument;
based on the customer request, activating a camera on the client device to generate a live stream of image data of a field of view of the camera, wherein the live stream includes imagery of at least a portion of the financial instrument;
converting, by the client device, the live stream to a plurality of byte arrays, wherein the plurality of byte arrays form a plurality of images of the financial instrument;
averaging, by the client device, common pixels from each image frame or portion of the image frame, in the plurality of images, thereby forming a blended image; and
extracting from the blended image, by an optical character recognition (OCR) program, a first data field from the blended image and a second data field from the blended image.
16. The non-transitory computer-readable device of claim 15 , wherein the live stream comprises a raw image live stream.
17. The non-transitory computer-readable device of claim 15 , wherein the optical character recognition program is configured with a trained machine learning OCR model.
18. The non-transitory computer-readable device of claim 15 , further comprising operations communicating the first and second data fields to a remote deposit server configured to process at least the first and second data fields to complete a remote deposit.
19. The non-transitory computer-readable device of claim 15 , wherein the at least one computing device is a mobile client device.
20. The non-transitory computer-readable device of claim 15 , wherein the common pixels are derived from bitmaps of the plurality of images of the financial instrument.