Document image processing and huge understanding volumes of unprocessed, handwritten, and historical documents are critical challenges for many heritage and cultural institutes and organizations. Our main objective in document image processing and understanding is the development and implementation of novel models and techniques that may help generate, enhance, present, and understand handwritten document images. Direct involvement of scholars and researchers from various institutes and universities, such as McGill University, allowed us to choose goal-oriented directions for our research and development. Currently, our focus is on providing a complete understanding system that consists of imaging, pre-processing/enhancement, word-spotting, transliteration, and data mining units in a user-friendly collaborative.
Cloud Computing is a form of distributed computing over a network based on different service models: Infrastructure as a service (Iaas), Platform as a service (PaaS) and Software as a service (Saas), and Deployment models such as Private Cloud, Public Cloud, Community Cloud, and Hybrid Cloud. Under the Canada Chair (CRC), many projects cover this field by developing a green innovative eco-cloud Platform framework that manages a converged infrastructure and hosts multiple classes of applications. Cloud computing eliminates manual integration, favoring an integrated architecture breaking down the silos of computing, storage, and network resources. Sample projects carried out by Synchromedia in this field include Synchromedia Platform (CFI).