| Presentation | 2002/3/7 A Highly Accurate Method Based on Phased Search of Candidate Rectangle Lattice for Handwritten Address Recognition Hidehisa NAKAYAMA, Masato SUZUKI, Nei KATO, Yoshiaki NEMOTO, |
|---|---|
| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | An address consists of two elements: place strings and street numbers. In the study of handwritten address recognition, it is common to recognize place strings from its image. However, this issue has not been directory discussed in literature. Many recognition systems require effective post-processing in address recognition. In case of using candidate rectangle lattice and its character recognition results, the post-processing might require huge amount of processing time. Consequently, this fact may ultimately force the system to ignore some parts of the place strings, and hence affects the performance of the system. We remark that the reading accuracy falls down when we expand the domain of the targeted image. In this paper, we propose a method based on phased search of candidate rectangle lattice for recognizing place strings with high precision. Applying our proposal to the IPTP 1840 image data of address strings, experimental results show clearly the efficiency of our proposed system in handwritten address recognition. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | handwritten address recognition / address image / candidate rectangle lattice / phased search / post-processing |
| Paper # | NLC2001-97 |
| Date of Issue |
| Conference Information | |
| Committee | NLC |
|---|---|
| Conference Date | 2002/3/7(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Natural Language Understanding and Models of Communication (NLC) |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Highly Accurate Method Based on Phased Search of Candidate Rectangle Lattice for Handwritten Address Recognition |
| Sub Title (in English) | |
| Keyword(1) | handwritten address recognition |
| Keyword(2) | address image |
| Keyword(3) | candidate rectangle lattice |
| Keyword(4) | phased search |
| Keyword(5) | post-processing |
| 1st Author's Name | Hidehisa NAKAYAMA |
| 1st Author's Affiliation | Graduate School of Information Sciences, Tohoku University() |
| 2nd Author's Name | Masato SUZUKI |
| 2nd Author's Affiliation | Department of computer Science, Tokyo National college of Technology |
| 3rd Author's Name | Nei KATO |
| 3rd Author's Affiliation | Graduate School of Information Sciences, Tohoku University |
| 4th Author's Name | Yoshiaki NEMOTO |
| 4th Author's Affiliation | Graduate School of Information Sciences, Tohoku University |
| Date | 2002/3/7 |
| Paper # | NLC2001-97 |
| Volume (vol) | vol.101 |
| Number (no) | 711 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |