Handwritten tax receipt recognition method based on improved DBNet and CRNN.
Saved in:
| Title: | Handwritten tax receipt recognition method based on improved DBNet and CRNN. |
|---|---|
| Authors: | Wei L; School of Finance and Economics, Sanya University, Sanya, China., Sun J; College of Educational Arts and Sciences, National University of the Philippines, Manila, Philippines. |
| Source: | PloS one [PLoS One] 2026 Jul 07; Vol. 21 (7), pp. e0352963. Date of Electronic Publication: 2026 Jul 07 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1932-6203 |
|---|---|
| DOI: | 10.1371/journal.pone.0352963 |
