Container ISO code recognition system using multiple view based on Google LSTM tesseract
Optical Character Recognition (OCR) system is vastly used to identify license plates, street signs, and other applications. However, it faces difficulties to recognize ISO code from natural images of shipping containers due to rough weather condition, varying color, illumination, etc. In this paper,...
Saved in:
Main Authors: | Shithil, Shaekh Mohammad, Mohd. Kamil, Ahmad Ridhwan, Tasnim, Sadat, Mohd. Faudzi, Ahmad Athif |
---|---|
Format: | Book Section |
Published: |
Springer Science and Business Media Deutschland GmbH
2022
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/100451/ http://dx.doi.org/10.1007/978-981-16-8484-5_41 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Container ISO code recognition system using multiple view based on Google LSTM tesseract
by: Shithil, Shaekh Mohammad, et al.
Published: (2022) -
Path planning based on inflated medial axis and probabilistic roadmap for duct environment
by: Mohd. Kamil, Ahmad Ridhwan, et al.
Published: (2022) -
Robust sensor fusion for autonomous UAV navigation in GPS denied forest environment
by: Shaekh Mohammad Shithil, Shaekh Mohammad Shithil, et al.
Published: (2022) -
Path planning based on inflated medial axis and probabilistic roadmap for duct environment
by: Mohd. Kamil, Ahmad Ridhwan, et al.
Published: (2022) -
Data analytics for traffic flow prediction in custom using Long Short Term Memory (LSTM) networks
by: Lee, Pin Loon, et al.
Published: (2021)