Deep learning and deep neural networks, particularly Convolutional Neural Networks
(CNNs), are rapidly growing areas of machine learning and are currently the primary tools …

The text lines of ancient Tibetan books are skewed and distorted, strokes are broken, and
complex adjacent text lines touch each other, which makes text line segmentation extremely …

The machine learning community has helped solve many challenging computer vision-
related tasks over the last decades. Many deep learning techniques have also evolved over …

It is key technology for handwritten historical document image analysis to segment text lines.
There is no doubt that it is very difficult for text line segmentation owning to varied forms of …

Optical Character Recognition (OCR) is commonly referred as text recognition which poses
a substantial issue in the computer vision tasks. Conventional optical character recognition …

I hereby declare that the entire work embodied in this Doctoral thesis has been carried out
by me at the Department of PG Studies and Research in Computer Science, Kuvempu …

Handwritten Character Recognition is the ability of a system to identify handwritten
characters from input sources. However, the recognition becomes more difficult when it is …