Nowadays, machine learning (ML), which is one of the most rapidly growing technical tools,
is extensively used to solve critical challenges in various domains. Vehicular ad hoc network …

Traditional systems of handwriting recognition have relied on handcrafted features and a
large amount of prior knowledge. Training an Optical character recognition (OCR) system …

Deep learning (DL) is a powerful machine learning field that has achieved considerable
success in many research areas. Especially in the last decade, the-state-of-the-art studies …

Supervised learning with the restriction of a few existing training samples is called Few-Shot
Learning. FSL is a subarea that puts deep learning performance in a gap, as building robust …

Reaching high accuracy in handwritten character recognition is an essential challenge since
it is widely used in many fields such as signature analysis and forgery detection. Recently …

Handwritten character recognition has continually been a fascinating field of study in pattern
recognition due to its numerous real-life applications, such as the reading tools for blind …

Digit Recognition is essential for interpreting image processing and pattern recognition
since a machine cannot classify handwritten digits. Many real-time applications include OCR …

One of the most important biometric authentication technique is signature. Nowadays, there
are two types of signatures, offline (static) and online (dynamic). Online signatures have …

In modern deep learning, character recognition in images is a very important field of study
due to its has many real life applications. The goal of this paper is to create the state-of-the …

The paper describes the excellent method to get first-rate accuracy and performance in the
discipline of Tamil character recognition in a handwritten mode. However, the subject is still …