Embedded Character Recognition System using Random Forest Algorithm for IC Inspection System

• Main Authors: Chong, Wei Jian, M. Z., Ibrahim, Thum, Wei Seong, Ting, Ei Wei, Sabira, Khatun
• Format: Article
• Language: English
• Published: UTeM 2017
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/19731/1/Embedded%20Character%20Recognition%20System%20using%20Random%20Forest%20Algorithm%20for%20IC%20Inspection%20System.pdf; http://umpir.ump.edu.my/id/eprint/19731/; http://journal.utem.edu.my/index.php/jtec/article/view/3498; http://journal.utem.edu.my/index.php/jtec/article/view/3498
• Institution: Universiti Malaysia Pahang

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...