We propose a real-time retrieval method for document images in various languages. In this method, queries are images of documents captured by a web-camera. The document images cor...
In this paper, we present a novel approach for incorporating structural information into the hidden Markov Modeling (HMM) framework for offline handwriting recognition. Traditiona...
This paper describes a publicly available database, CASIA-OLHWDB1, for research on online handwritten Chinese character recognition. This database is the first of our series of on...
We present a method to detect characters on signboards in natural scene images. For many applications, both classifier with small computational cost and the efficient feature set,...
The paper describes a new approach using a Conditional Random Fields (CRFs) to extract physical and logical layouts in unconstrained handwritten letters such as those sent by indi...
After the handwritten segmentation process, it is common to have connected digits. This is due to the great size and shape digit variations. In addition, the acquisition and the b...
Cristiano de Santana Pereira, George D. C. Cavalca...
In this work, a technique addressed to the reliable identification of very similar filled-in forms, with a reject option, is proposed. The method is based on the automatic detecti...
In today's world, form processing systems must be able to recognize mutant forms that appear to be based on differing templates but are actually only a variation of the origi...
In order to reduce the rejection rate of our automatic reading system, we propose to pre-classify the business documents by introducing an Automatic Recognition of Documents stage...
Generally, handwritten word recognition systems use script specific methodologies. In this paper, we present a unified approach for multi-lingual recognition of alphabetic scripts...
Yousri Kessentini, Thierry Paquet, Abdelmajid Ben ...