Methods based on learning from examples that have been widely applied to character
recognition are considered as one of the classification methods. This class of methods …

The character recognition system is a vital area in the field of pattern recognition. One
interesting, complex, and challenging task is handwritten character recognition because of …

Handwriting is essential for the development of fine motor skills in children. Handwritten
character recognition has the potential to facilitate natural human–machine interactions …

Word segmentation is a crucial phase for handwritten text recognition. When the input image
contains several words written into multiple text lines, it is essential to separate or segment …

In the realm of Optical Character Recognition, handwritten character recognition in Bangla is
still an unresolved challenge. There have been many breakthroughs in object recognition …

Despite the significant success of document image analysis techniques, efficient Optical
Character Recognition (OCR) of degraded document images still remains an open problem …

Abstract In this paper, Modified Multi-scale Segmentation Network (MMUSNet) method is
proposed for Tamil text recognition. Handwritten texts from digital writing pad notes are used …

In general, the prediction models are increasingly being used for reasoning and decision
making in various applications. With the advancements in IT based devices such as Tablet …

Abstract Offline Handwritten Character Recognition is one of the most promising challenges.
In many existing techniques, the different character styles of offline character recognition …

This study aims to enable deaf and hard-of-hearing people to communicate with other
individuals who know and do not know sign language. The mobile application was …