David Doermann Livres

In the fall of 2006, the University of Maryland hosted a two-day Summit on Arabic and Chinese Handwriting Recognition (SACH 2006), supported by various government and industrial sponsors. This event complemented the biennial Symposium on Document Image Understanding Technology (SDIUT) and focused on the advancements in Arabic and Chinese handwriting recognition. It served as a platform for interaction among leading researchers and facilitated discussions on future directions in the field. The resulting book is based on the expansion, peer review, and revision of selected papers presented at the summit. Handwriting recognition is a significant challenge in document analysis, particularly for Arabic and Chinese scripts. The book features 16 scientific papers on handwritten Arabic and Chinese, along with 2 papers on other scripts. Authors were encouraged to describe their techniques and identify key challenges faced by the research community. This collection offers detailed insights into the current state of research. Among the contributions, six articles focus on Arabic handwriting, including Cheriet's overview of recognition challenges and the application of natural language processing techniques to enhance lexicon-based systems.