Ancient Horoscopic Palm Leaf Binarization Using A Deep Binarization Model - RESNET

ViT-based classification of oracle bones for periodization of the Shang Dynasty

“…Gayathri and Kannan [3] investigated a novel model on a dataset of over 3,000 images to classify Ayurvedic documents, yielding promising results. Jayakumari and Nair [4] proposed a deep-learning-based ResNet model for the binarization of ancient horoscopic palm leaf images, achieving a high accuracy of 95.38% on a manually collected dataset. Bipin performed a comparative study on the performance of various pre-trained deep learning models for classifying Malayalam documents, utilizing three fine-tuned deep learning models, namely VGG-16, CNN, and AlexNet, which achieved accuracies of 99.7%, 96%, and 95%, respectively [5].…”

Banana Grading Using Deep Learning Model

“…The pre-trained networks have mastered rich feature representations for a wide range of natural images [24]. Resnet model is a useful tool for image binarization of old, degraded horoscopic palm leaf documents [25]. The document is also structured as follows: The techniques are found in the third part.…”