POST-OCR ERROR DETECTION USING CLASSIFICATION BY COMPRESSION FOR FORM TEXT DATA
One of the main problems of Post OCR Error Detection are its shortcoming in detecting error for unique pattern that does not depends on certain language. There are not yet focused research to tackle this, regex or lexicon approach have the lack of adaptability for diverse document and Deep Learni...
Saved in:
Main Author: | Ikhsan Saputro, Muhammad |
---|---|
Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/79561 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
Imaged document text retrieval without OCR
by: Tan, C.L., et al.
Published: (2013) -
Improving OCR text categorization accuracy with electronic abstracts
by: Liniin, L., et al.
Published: (2013) -
Neural OCR neural networks in OCR
by: Say, Joseph C., et al.
Published: (1994) -
Blackboard OCR
by: Kwek, Peng Hong
Published: (2017) -
Android application for capturing personal data on name card using OCR
by: Tan, Woon Pang
Published: (2017)