Vision-based sign language recognition system is an emerging research area in human-
computer interaction (HCI). It has been proved as a powerful communication tool for deaf …

Handwritten text recognition is considered as the most challenging task for the research
community due to slight change in different characters' shape in handwritten documents …

This paper presents an efficient Optical Character Recognition (OCR) system for offline
isolated Pashto characters recognition. Developing an OCR system for handwritten …

This paper aims at describing an approach developed for the recognition of gestures on
digital images. In this way, two shape descriptors were used: the histogram of oriented …

The varying writing style and critical representation of characters in Indian script makes
Handwritten Optical Character (HOCR) challenging and has attracted researchers to …

Machine simulation of human reading has caught the attention of computer science
researchers since the introduction of digital computers. Character recognition is the process …

Arabic optical character recognition (OCR) is the process of converting images that contain
Arabic text to a format that can be edited. In this work, a simple approach for Arabic OCR is …

Human-Human (deaf people-ordinary people) and Human-Machine communication have
become an interesting area of research requiring robust recognition systems. The paper …

HOCR is abbreviated as Handwritten Optical Character Recognition. HOCR recognizes
handwritten characters from a digital image of documents. Shape identification and feature …

Due to the several forms of different Arabic font types, Arabic character recognition is still a
challenge. Most literature works consider only one font per text what results in low …