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 …

Script identification plays a significant role in analysing documents and videos. In this paper,
we focus on the problem of script identification in scene text images and video scripts …

In order to rapidly build an automatic and precise system for image recognition and
categorization, deep learning is a vital technology. Handwritten character classification also …

In India, more than 300 million people use Devanagari script for documentation. There has
been a significant improvement in the research related to the recognition of printed as well …

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 …

Script identification facilitates many important applications in document/video analysis. This
paper investigates a relatively new problem: identifying scripts in natural images. The basic …

We survey the optical character recognition (OCR) literature with reference to the Urdu-like
cursive scripts. In particular, the Urdu, Pushto, and Sindhi languages are discussed, with the …

Numeral recognition plays a vital role in making automated systems like postal address
sorting and license plate recognition. In a multilingual country like India, more often, the …

The writing style is a unique characteristic of a human being as it varies from one person to
another. Due to such diversity in writing style, handwritten character recognition (HCR) …

Principal Component Analysis (PCA) and Modular PCA (MPCA) are well known statistical
methods for recognition of facial images. But only PCA/MPCA is found to be insufficient to …