Deep learning-based character recognition of Tamil inscriptions plays a significant role in
preserving the ancient Tamil language. The complexity of the task lies in the precise …

In facial expression recognition applications, the classification accuracy decreases because
of the blur, illumination and localization problems in images. Therefore, a robust emotion …

Tamil character recognition serves as a vital research problem in pattern recognition since
there are many serious technical difficulties due to similarity and complexity of characters …

Palm-leaf manuscripts are historical records written mainly in many local languages in many
South Asian countries. These texts have suffered damage over many years and centuries …

In this digital era, the demand for character recognition systems in various languages has
been increasing steadily. Tamil is one of the oldest languages spoken till date and the need …

Character recognition on inscriptions is an area which explores our knowledge of an ancient
language. Inscriptions were done in all kinds of environments. This work focuses on …

Numerous research based on offline Tamil recognition deals only with few Tamil characters
since it becomes extremely complicated in distinguishing small variations in large …

Ancient manuscripts like palm leaves, available in museum libraries, are a rich source of
knowledge. Digitization helps store this knowledge protected for the future & enables its …

A brain tumor is Associate in Nursing abnormal mass of tissue within which cells grow and
multiply uncontrollably. The brain tumor is of two sorts specifically primary and pathologic …

Handwritten Character Recognition (HWCR) is one of the difficult tasks in the field of pattern
recognition and machine learning. In the HWCR application, human handwritten characters …