Embedded Character Recognition System using Random Forest Algorithm for IC Inspection System
Character recognition system based on human inspection is unpractical due to lack of accuracy and high cost. Therefore, investigating on automated character inspection system by computer is needed to improve the accuracy, reduce the cost and inspection time. In this project, a Beagle Bone Black (BBB...
Main Authors: | Chong, Wei Jian, M. Z., Ibrahim, Thum, Wei Seong, Ting, Ei Wei, Sabira, Khatun |
---|---|
Format: | Article |
Language: | English |
Published: |
UTeM
2017
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/19731/ http://umpir.ump.edu.my/id/eprint/19731/ http://umpir.ump.edu.my/id/eprint/19731/ http://umpir.ump.edu.my/id/eprint/19731/1/Embedded%20Character%20Recognition%20System%20using%20Random%20Forest%20Algorithm%20for%20IC%20Inspection%20System.pdf |
Similar Items
-
Development on SNR estimator for audio-visual speech recognition based on waveform amplitude distribution analysis
by: Thum, Wei Seong
Published: (2018) -
Development of finger vein identification system using feature combination and dimensionality reduction
by: Ting, Ei Wei
Published: (2018) -
An efficient approach for vision inspection of IC chips
by: Kok Wah, Liew
Published: (2012) -
Proposed intelligent algorithm for IC marking image inspection
by: H., Yasser, et al.
Published: (2011) -
A review of audio-visual speech recognition
by: Thum, Wei Seong, et al.
Published: (2018)