Optical character recognition using deep learning for keyword-triggered value extraction in documents
The manual labour hours needed to compare values within documents remain one of the top inefficiencies that Manufacturing companies like SLB face when performing their regular Quality Control Inspection. On top of that, the risks of errors are high due to its manual handling nature. To combat th...
Saved in:
Main Author: | Lie, Valencia |
---|---|
Other Authors: | Lee Bu Sung, Francis |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/174994 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Deep learning for optical character recognition in online images
by: Lim, Yi Xian
Published: (2023) -
Deep learning supported location-aware keyword query
by: Xia, Tianyi
Published: (2024) -
Deep learning-based text recognition of agricultural regulatory document
by: FWA, Hua Leong, et al.
Published: (2022) -
Optical character recognition techniques for restoration of Thai historical documents
by: Supachai Tangwongsan, et al.
Published: (2018) -
Detection, recognition and understanding document layout
by: Loh, Yi Ze
Published: (2024)