Name
Abstract | ||
|---|---|---|
Financial Sharing Centre of big or medium-sized enterprises that need to handle a large number of VAT invoices every day, but these invoices are often handled manually in poor efficiency. They need automation of unsupervised processing systems for VAT invoices to reduce costs and also to promote their financial management capability. In this paper, we develop FCN-biLSTMs that are capable of processing and recognizing invoice automatically. In view of the characteristics of invoice, we propose the methods that extract text lines by using invoice layout information and text characteristics, and achieve higher accuracy. Combined with the previous text detection methods and the attention-based biLSTM sequence learning structure for text recognizing, we developed an automatic VAT invoice recognition and processing system. The system in the actual projects of enterprises has achieved impressive performance. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-319-94340-4_11 | Lecture Notes in Computer Science |
Keywords | DocType | Volume |
FCN,biLSTM,Invoice recognition and processing | Conference | 10973 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fei Jiang | 1 | 37 | 17.89 |
| Huan Chen | 2 | 20 | 8.37 |
| Liang-Jie Zhang | 3 | 982 | 138.17 |