Old documents frequently appear with digitalization errors, uneven background, bleed-through effect etc... Motivated by the challenge to improve printed and handwritten text, we developed a new approach based on morphological color operators using HSI color space. Our approach is composed of a morphological background estimation for foreground/background separation and text segmentation, a background smoothing and a color text recovery. Experimental results carried onto ancient documents have proven that ISH lexicographic order is the most effective to estimate the background and recover ancient texts in uneven and foxed background images. © 2013 Springer International Publishing.264 LNEE241250Aptoula, E., Lefèvre, S., Multivariate mathemat...
Text line segmentation is one of the pre-stages of modern optical characterrecognition systems. The ...
This paper presents a new technique for the binarization of historical document images characterized...
An image-based approach to document image analysis is presented. The methods are moti-vated by a mer...
Abstract. Old documents frequently appear with digitalization errors, uneven background, bleed-throu...
An obstacle in old document interpretation comes from the lack of image quality. Old documents frequ...
Abstract: An obstacle in old document interpretation comes from the lack of image quality. Old docum...
In this paper, some morphological transformations are used to detect the unevenly illuminated backgr...
OCR (Optical Character Recognition) has been confronted with the problems of recognizing degraded do...
Digital archiving has helped in the development of the exploitation of historical documents, but the...
International audienceThis paper presents the first fully automatic color analysis system suited for...
Abstract — Revamping of ancient degraded document images is a grueling task due their foreground tex...
International audienceWe present the first fully automatic color analysis system suited fornoisy het...
Text recognition of images is beneficial in a wide range of computer vision purposes such as robot n...
Text recognition of images is beneficial in a wide range of computer vision purposes such as robot n...
The binary nature of document degradation decides the suitability of morphological methods for resto...
Text line segmentation is one of the pre-stages of modern optical characterrecognition systems. The ...
This paper presents a new technique for the binarization of historical document images characterized...
An image-based approach to document image analysis is presented. The methods are moti-vated by a mer...
Abstract. Old documents frequently appear with digitalization errors, uneven background, bleed-throu...
An obstacle in old document interpretation comes from the lack of image quality. Old documents frequ...
Abstract: An obstacle in old document interpretation comes from the lack of image quality. Old docum...
In this paper, some morphological transformations are used to detect the unevenly illuminated backgr...
OCR (Optical Character Recognition) has been confronted with the problems of recognizing degraded do...
Digital archiving has helped in the development of the exploitation of historical documents, but the...
International audienceThis paper presents the first fully automatic color analysis system suited for...
Abstract — Revamping of ancient degraded document images is a grueling task due their foreground tex...
International audienceWe present the first fully automatic color analysis system suited fornoisy het...
Text recognition of images is beneficial in a wide range of computer vision purposes such as robot n...
Text recognition of images is beneficial in a wide range of computer vision purposes such as robot n...
The binary nature of document degradation decides the suitability of morphological methods for resto...
Text line segmentation is one of the pre-stages of modern optical characterrecognition systems. The ...
This paper presents a new technique for the binarization of historical document images characterized...
An image-based approach to document image analysis is presented. The methods are moti-vated by a mer...