This paper presents the final report of the outcome of the sixth edition of the Arc
Segmentation Contest. The theme of this edition is segmentation of images with different …

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 …

The problem of automatic conversion of engineering drawings from paper carriers to an
electronic vector form is very topical and is not solved yet at an acceptable level. The …

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

Many factors, such as noise level in the original image and the noise-removal methods that
clean the image prior to performing a vectorization, may play an important role in affecting …

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 …

Empirical performance evaluation of raster to vector conversion is a means of judging the
quality of line detection algorithms. Many factors may affect line detection. This paper aims to …

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

Following the discussion we have made in Chap. 1, in this chapter, graphics recognition:
graphical symbol recognition, retrieval and spotting will be discussed. It first provides a clear …

In this paper, we show that averaging of the Vector Recovery Index (VRI) score for a test
involving many images is not accurate and leads to bias. We demonstrate that the higher the …