  With the development of the economy, the number of financial tickets
increases rapidly. The traditional manual invoice reimbursement and financial
accounting system bring more and more burden to financial accountants.
Therefore, based on the research and analysis of a large number of real
financial ticket data, we designed an accurate and efficient all contents text
detection and recognition method based on deep learning. This method has higher
recognition accuracy and recall rate and can meet the actual requirements of
financial accounting work. In addition, we propose a Financial Ticket Character
Recognition Framework (FTCRF). According to the characteristics of Chinese
character recognition, this framework contains a two-step information
extraction method, which can improve the speed of Chinese character
recognition. The experimental results show that the average recognition
accuracy of this method is 91.75\% for character sequence and 87\% for the
whole ticket. The availability and effectiveness of this method are verified by
a commercial application system, which significantly improves the efficiency of
the financial accounting system.
