Abstract: An obstacle in old document interpretation comes from the lack of image quality. Old documents frequently appear with digitization errors, uneven background, bleed-through effect. A new approach based on morpho-logical color operators to restore the color text is presented. The morphological tools are based on three color spaces, HSI well known in morphological processes, YCrCb and Y IQ rarely used in morphological proce-dures. Experimental results carried onto 100 old documents have proven that using YCrCb and Y IQ is as effective as using HSI to recover ancient texts in uneven and foxed background images, without presenting problems in hue ordination.
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...
International audienceHistorical documents are valuable resources worthto be preserved in order to s...
An obstacle in old document interpretation comes from the lack of image quality. Old documents frequ...
Abstract. Old documents frequently appear with digitalization errors, uneven background, bleed-throu...
Old documents frequently appear with digitalization errors, uneven background, bleed-through effect ...
As an effort to improve accessibility to historical documents, digitization of historical archives h...
The proposed research aims to restore deteriorated text sections that are affected by stain markings...
Digital archiving has helped in the development of the exploitation of historical documents, but the...
Document Image Analysis recognizes text and graphics in documents acquired as images. An approach wi...
The ancient document that sored in museum and library required recovering of its contain, since the ...
Monochromatic documents claim for much less computer bandwidth for network transmission and storage ...
This paper describes the image enhancement techniques that we have used to help historians read thre...
International audienceThis paper presents the first fully automatic color analysis system suited for...
Arbeit an der Bibliothek noch nicht eingelangt - Daten nicht geprüftAbweichender Titel nach Übersetz...
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...
International audienceHistorical documents are valuable resources worthto be preserved in order to s...
An obstacle in old document interpretation comes from the lack of image quality. Old documents frequ...
Abstract. Old documents frequently appear with digitalization errors, uneven background, bleed-throu...
Old documents frequently appear with digitalization errors, uneven background, bleed-through effect ...
As an effort to improve accessibility to historical documents, digitization of historical archives h...
The proposed research aims to restore deteriorated text sections that are affected by stain markings...
Digital archiving has helped in the development of the exploitation of historical documents, but the...
Document Image Analysis recognizes text and graphics in documents acquired as images. An approach wi...
The ancient document that sored in museum and library required recovering of its contain, since the ...
Monochromatic documents claim for much less computer bandwidth for network transmission and storage ...
This paper describes the image enhancement techniques that we have used to help historians read thre...
International audienceThis paper presents the first fully automatic color analysis system suited for...
Arbeit an der Bibliothek noch nicht eingelangt - Daten nicht geprüftAbweichender Titel nach Übersetz...
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...
International audienceHistorical documents are valuable resources worthto be preserved in order to s...