Text recognition for Vietnamese identity card based on deep features network

摘要

Optical character recognition (OCR) is a technology for converting text automatically on images into data strings for editing, indexing, and searching. The strings can be applied for many tasks such as to digitize old documents, translate into other languages, or to test and verify text positions. Recently, Know Your Customer (KYC) has become an industry standard for making sure that people are who they say they are. While the scope of Know Your Customer is constantly expanding, ID verification is still a crucial first step in KYC processes. Mobile OCR is one of the technological solutions that is making this part of KYC easier than ever for customers to comply with. KYC processes require financial services companies to verify the identities of their customers OCR to extract data by reading IDs, bank cards, and documents. In this paper, we investigate to develop a method for Vietnamese identity card recognition based on deep features network. On several major data fields of identity cards, it achieves an accuracy of more than 96.7% and 89.7% on character level and word level, respectively.