A variety of different scripts are used in writing languages throughout the world. In a
multiscript, multilingual environment, it is essential to know the script used in writing a …

Neural network are most popular in the research community due to its generalization
abilities. Additionally, it has been successfully implemented in biometrics, features selection …

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 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 …

This paper deals with an optical character recognition (OCR) system for handwritten Gujarati
numbers. One may find so much of work for Indian languages like Hindi, Kannada, Tamil …

In recent years, with the widespread of Internet and digitized processing of multi-script
documents worldwide, script identification techniques have become more important in the …

Document Analysis and Recognition (DAR) aims at the automatic extraction of information
presented on paper and initially addressed to human comprehension. The desired output of …

Script identification is required for a multilingual OCR system. In this paper, we present a
novel and efficient technique for Bangla/English script identification with applications to the …

Recognition of numeric postal codes in a multi-script environment is a classical problem in
any postal automation system. In such postal documents, determination of the script of the …

Handwritten document recognition has been an active domain of research in the field of
computer vision for several years since 1914 with the development of handheld scanner for …