ICDAR 2009-Arabic handwriting recognition competition

The ICDAR 2009 Signature Verification Competition

Recent results of forgery detection by implementing biometric signature verification methods are promising. At present, forensic signature verification in daily casework is performed through visual examination by trained forensic handwriting experts, without reliance on computerassisted methods. With this competition on onand offline skilled forgery detection, our objective is to make a first s...

Arabic Handwriting Recognition

This thesis explores a number of different techniques for use in the field of Arabic Handwriting Recognition. A review of previous work in the field is conducted, and then various techniques are explored in the context of classifying town names from the IFN/ENIT database. A baseline-finding algorithm using Principal Components Analysis is implemented, and the change in performance from reducing...

Segmentation-Free Online Arabic Handwriting Recognition

Arabic script is naturally cursive and unconstrained and, as a result, an automatic recognition of its handwriting is a challenging problem. The analysis of Arabic script is further complicated in comparison to Latin script due to obligatory dots/stokes that are placed above or below most letters. In this paper, we introduce a new approach that performs online Arabic word recognition on a conti...

Multi-agent Systems for Arabic Handwriting Recognition

Large Vocabulary Arabic Online Handwriting Recognition System

Online handwriting recognition of Arabic script is a difficult problem since it is naturally both cursive and unconstrained. The analysis of Arabic script is further complicated due to obligatory dots/stokes that are placed above or below most letters and usually written delayed in order. In addition, Arabic language is rich in morphology and syntax which makes it a must for a good online handw...