Handwriting recognition has become an active area of research in pattern recognition and
machine learning in recent years. Handwriting recognition systems have a variety of …

Feature selection plays a key role in reducing the dimensionality of a feature vector by
discarding redundant and irrelevant ones. In this paper, a Genetic Algorithm-based …

The handwritten script recognition is one of the most interesting and challenging areas of
pattern recognition due to numerous variations in writing styles. Extensive in-depth research …

Handwritten character recognition complexity varies among different languages due to
distinct shapes, strokes and number of characters. Numerous works in handwritten character …

In spite of advances in object recognition technology, handwritten Bangla character
recognition (HBCR) remains largely unsolved due to the presence of many ambiguous …

Identification of local regions from where optimal discriminating features can be extracted is
one of the major tasks in the area of pattern recognition. To locate such regions different kind …

In this work, a novel deep learning technique for the recognition of handwritten Bangla
isolated compound character is presented and a new benchmarkof recognition accuracy on …

Recognition of handwritten characters is a challenging task. Variations in writing styles from
one person to another, as well as for a single individual from time to time, make this task …

The handwritten character recognition (HCR) problem has been studied extensively during
the last few decades with varying level of success. Although one of the earliest optical …

Identifying the most informative local regions of a handwritten character image is necessary
for a robust handwritten character recognition system. But identifying them from a character …