The chapter focuses on one of the key issues in document image processing ie, graphical
symbol recognition. Graphical symbol recognition is a sub-field of a larger research domain …

A few years ago we introduced the Document Analysis and Exploitation (DAE) Platform with
the goal of providing a comprehensive environment for the hosting and distribution of …

We present what is to our knowledge the first-ever fitting-based circle detection algorithm,
namely, the fast and accurate circle (FACILE) detection algorithm, based on gradient …

In this paper, we present an approach based on information fusion for road networks
extraction from high-resolution multi-spectral satellite image data that builds upon pixel …

Circle and circular arc detection in images have been a long standing topic in image
analysis. It finds numerous applications for both scanned document images as well as in …

This paper addresses performance evaluation in the presence of imprecise ground-truth.
Indeed, the most common assumption when performing benchmarking measures is that the …

Circle detection is an important issue that has not been perfectly solved in automated image
analysis to date. It is traditionally carried out via pixel-based 3D voting algorithms, involving …

当前主流的在线高精度PCB 裸板缺陷AOI 检测系统均采用基于轮廓矢量化分析比对方法,
圆弧探测是实现轮廓矢量化的关键环节. 本文提出一种快速的圆弧探测方法, 首先采用DP …

Optical Character Recognition (OCR) systems have been around for a long time. However,
the need for such systems goes further than just the need to convert a scanned document …

In document image processing, arc segmentation plays an important role in vectorization
and graphic recognition. Moreover, the unsatisfactory results of several recent arc …