Hello,
For information we have released a new project on Github UltimateCreditCard.
This is a ScanToPay implementation for bank credit card detection and recognition/OCR using deep learning.
Our implementation uses DeepLayout Analysis to detect and recognize every field from the card (Number, Holder's name, Validity, Company...). It works with all cards (credit, debit, travel, prepaid, corporate...) from all payment networks (Visa, MasterCard, American Express, RuPay, Discover...).
Both Embossed and UnEmbossed formats are
supported.
Unlike other implementations we're not doing brute force OCR (trying multiple images/parameters until match). You only need a single image to get a result. There is no template matching which means the data could be malformed or at any position and you'll still have a correct result (WYSIWYG).
The number of use cases in FinTech industry are countless: Scan To Pay, Helping visually impaired users, Online shopping speedup, payment forms auto-filling, reducing typing errors, process automation...
Online webapp to check the accuracy and speed: https://www.doubango.org/webapps/credit-card-ocr/
Youtube demo video (Android): https://www.youtube.com/watch?v=BBI_3AJIc1c
Github repo: https://github.com/DoubangoTelecom/ultimateCreditCard-SDK
Regards,