The Mesoamerican Corpus of Formative Period Art and Writing

This project explores the origins and development of the first writing in the New World by constructing a comprehensive database of Formative period, 1500-400 BCE, iconography and a suite of database-driven digital tools. In collaboration with two of the largest repositories of Formative period Mesoamerican art in Mexico, the project integrates the work of archaeologists, art historians, and scientific computing specialists to plan and begin the production of a database, digital assets, and visual search software that permit the visualization of spatial, chronological, and contextual relationships among iconographic and archaeological datasets. These resources will eventually support mobile and web based applications that allow for the search, comparison, and analysis of a corpus of material currently only partially documented. The start-up phase will generate a functional prototype database, project website, wireframe user interfaces, and a report summarizing project development

A customizable fuzzy system for offline handwritten character recognition

Automated offline handwritten character recognition involves the development of computational methods that can generate descriptions of the handwritten objects from scanned digital images. This is a challenging computational task, due to the vast impreciseness associated with the handwritten patterns of different individuals. Therefore, to be successful, any solution should employ techniques that can effectively handle this imprecise knowledge. Fuzzy Logic, with its ability to deal with the impreciseness arisen due to lack of knowledge, could be successfully used to develop automated systems for handwritten character recognition. This paper presents an approach towards the development of a customizable fuzzy system for offline handwritten character recognition. </jats:p