An optimal approach towards recognizing broken Thai characters in OCR systems
This paper presents a novel technique for recognizing broken Thai characters found in degraded Thai text documents by modeling it as a set-partitioning problem (SPP). The technique searches for the optimal set-partition of the connected components by which each subset yields a reconstructed Thai cha...
Saved in:
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Conference or Workshop Item |
| Published: |
2018
|
| Subjects: | |
| Online Access: | https://repository.li.mahidol.ac.th/handle/123456789/14005 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Mahidol University |
| Summary: | This paper presents a novel technique for recognizing broken Thai characters found in degraded Thai text documents by modeling it as a set-partitioning problem (SPP). The technique searches for the optimal set-partition of the connected components by which each subset yields a reconstructed Thai character. Given the non-linear nature of the objective function needed for optimal set-partitioning, we design an algorithm we call Heuristic Incremental Integer Programming (HIIP), that employs integer programming (IP) with an incremental approach using heuristics to hasten the convergence. To generate corrected Thai words, we adopt a probabilistic generative approach based a Thai dictionary corpus. The proposed technique is applied successfully to a Thai historical document and poor quality Thai fax document with promising accuracy rates over 93%. © 2012 IEEE. |
|---|