Handwritten Khmer text recognition

A compact deep learning model for Khmer handwritten text recognition

“…Current experiments were based on the same data set and most preprocessing steps [9], [10]. Later, the potential to highly increase the recognition rate of neural networks was explored [21].…”

“…Figure 2 shows the development of the Khmer HTR framework. Data collection and preliminary experiments were completed in our previous work [9], [10]. In preliminary experiments, the number of features was reduced by 90% using three independent methods: correlation-based feature selection (CORR), two-dimensional Fourier transform (FT2D, and Gabor filters (GF).…”

“…Ye et al [8] developed an online recognition method for printed text in the Khmer, Bangla, and Myanmar alphabets. The amount of work in the field, as well as the nature of the collected data for relevant experiments, describes the current state of the art for Khmer handwritten text recognition (HTR) As an extension of previous experiments [9], [10], current work implemented CNNs for Khmer HTR. A novel, compact model 2+1CNN was proposed to be used alongside the models used in literature (LeNet-5 [1], AlexNet [11], visual geometry group 16 (VGG16), VGG19 [12], ResNet [13]).…”

“…Lack of appropriate datasets contributes to its difficulty. Only datasets collected in preliminary experiments [9], [10] were used.…”