THAIWRITTENNET: THAI HANDWRITTEN SCRIPT RECOGNITION USING DEEP NEURAL NETWORKS
Pakpoom Mookdarsanit, Lawankorn Mookdarsanit · Azerbaijan Journal of High Performance Computing · 2020
Thai is a non-tonal language usage for 70 million speakers in Thailand.A variety of Thai handwrit-ten styles has been a challenge in handwriting recognition.In this paper, we propose a novel "ThaiWrittenNet" based on Convolutional Neural Network (ConvNet or CNN) with a cutout to identify the handwritten recognitions.Deep Belief Network (DBN) is also combined with Con-vNet to reduce network complexity.From the results, ThaiWrittenNet outperforms the flat Con-vNet and other handcrafted features with traditional machine learning algorithms.It appears that DBN helps ConvNet to improve the accuracy of Thai-handwritten recognition.