Selection of text feature item is a basic and important matter for text mining and information
retrieval. Traditional methods of feature extraction require handcrafted features. To hand …

In the last decade, the number of computer malware has grown rapidly. Currently,
cybercriminals typically use malicious software (malware) as a means of attacking industrial …

Handwritten Digit Recognition (HDR) is one of the most challenging tasks in the domain of
Optical Character Recognition (OCR). Irrespective of language, there are some inherent …

Handwritten numeral recognition is a classical and important task in the computer vision
area. We propose two novel deep learning models for this task, which combine the edge …

Handwritten character recognition is a nontrivial task as it seeks to recognize the correct
class for user independent handwritten characters. This problem becomes even more …

In recent years, handwritten numeral classification has achieved remarkable attention in the
field of computer vision. Handwritten numbers are difficult to recognize due to the different …

In today's digital era, the recognition of handwritten documents is highly demanding due to
the widespread applications. Bangla is one of the most used languages in the world, which …

The recognition of handwritten characters has always been a very difficult task because of
the many variations of handwritten characters with different writing styles. This type of …

Recognition of handwritten characters in two Indic scripts Bangla and Meitei Mayek is one of
the challenging responsibilities due to intricate patterns and scarcity of standard datasets …

Bangla handwritten digit recognition is a convenient starting point for building an OCR in the
Bengali language. Lack of large and unbiased dataset, Bangla digit recognition was not …