O'Reilly logo

Handbook of Statistics by Venu Govindaraju, C.R. Rao

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Chapter 19

Manifold Learning for the Shape-Based Recognition of Historical Arabic Documents

Mohamed Cheriet, Reza Farrahi Moghaddam, Ehsan Arabnejad and Guoqiang Zhong,    Synchromedia Laboratory for Multimedia Communication in Telepresence, École de technologie supérieure, Montreal, QC, Canada H3C 1K3, mohamed.cheriet@etsmtl.ca rfarrahi@synchromedia.ca earabnejad@synchromedia.ca guoqiang.zhong@synchromedia.ca

Abstract

In this work, a recognition approach applicable at the letter block (subword) level for Arabic manuscripts is introduced. The approach starts with the binary images of the letter block to build their input representation, which makes it highly objective and independent of the designer. Then, using two different manifold learning ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required