To develop effective learning algorithms for online cursive word recognition is still a challenge research issue. In this paper, we propose a probabilistic framework to model the ...
This paper proposes a recognition based approach to handwritten numeral string segmentation. We consider two classes: numeral strings segmented correctly or not. The feature vecto...
This paper presents a new enhanced text extraction algorithm from degraded document images on the basis of the probabilistic models. The observed document image is considered as a...
There are a number of established products on the market for wrapping—semi-automatic navigation and extraction of data—from web pages. These solutions make use of the inherent...
The forensic investigation of a questioned signature written on a piece of paper is a challenging task. Electronic pen-tablets for recording writing movements are considered valua...
We present a new approach for recognition of complex graphic symbols in technical documents. Graphic symbol recognition is a well known challenge in the field of document image an...
Muhammad Muzzamil Luqman, Thierry Brouard, Jean-Yv...
In this paper we present a new method of baseline detection of online or offline short handwriting. This work is part of a large project for the edification of a dual online / off...
We have proposed a complete system for text detection and localization in gray scale scene images. A boosting framework integrating feature and weak classifier selection based on...