Proper display and accurate recognition of document im-ages are often hampered by degradations caused by poor scanning or transmission conditions. We propose a method to enhance such degraded document images for better dis-play quality and recognition accuracy. The essence of the method is in finding and averaging bitmaps of the same sym-bol that are scattered across a text page. Outline descriptions of the symbols are then obtained that can be rendered at arbi-trary resolution. The paper describes details of the algorithm and an experiment to demonstrate its capabilities using fax images.
Clean documents are relatively easy to recognize. However, when digitizing collections of documents,...
Abstract- Segmentation of text from poorly documented images is a very difficult task due to high mu...
The images are used in different field as Medical visualization, Image enhancement / restoration, Ar...
[[abstract]]This paper presents a method for improving the quality of degraded documents by noise re...
This paper presents a method for improving the quality of degraded documents by noise removal and te...
Nowadays a very difficult is Segmentation of text from degraded document images due to the high inte...
This paper presents a new adaptive approach for the binarization and enhancement of degraded documen...
Common tasks in document analysis, such as binarization, line extraction etc., are still considered ...
We introduce a pattern matching algorithm and a bitmap reconstruction method used in document image ...
This paper deals with an adaptive approach for binarization and enhancement of degraded documents. c...
Segmentation of badly degraded document images is done for discriminating a text from background ima...
AbstractHistorical document restoration has always been a challenging need for information acquisiti...
Part 3: Images, Visualization, ClassificationInternational audienceIn this work, a new clustering ba...
International audienceThe quality of document images has direct impacts on the performance of docume...
Abstract — Digital images are subjected to blurring due to many hardware limitations such as atmosph...
Clean documents are relatively easy to recognize. However, when digitizing collections of documents,...
Abstract- Segmentation of text from poorly documented images is a very difficult task due to high mu...
The images are used in different field as Medical visualization, Image enhancement / restoration, Ar...
[[abstract]]This paper presents a method for improving the quality of degraded documents by noise re...
This paper presents a method for improving the quality of degraded documents by noise removal and te...
Nowadays a very difficult is Segmentation of text from degraded document images due to the high inte...
This paper presents a new adaptive approach for the binarization and enhancement of degraded documen...
Common tasks in document analysis, such as binarization, line extraction etc., are still considered ...
We introduce a pattern matching algorithm and a bitmap reconstruction method used in document image ...
This paper deals with an adaptive approach for binarization and enhancement of degraded documents. c...
Segmentation of badly degraded document images is done for discriminating a text from background ima...
AbstractHistorical document restoration has always been a challenging need for information acquisiti...
Part 3: Images, Visualization, ClassificationInternational audienceIn this work, a new clustering ba...
International audienceThe quality of document images has direct impacts on the performance of docume...
Abstract — Digital images are subjected to blurring due to many hardware limitations such as atmosph...
Clean documents are relatively easy to recognize. However, when digitizing collections of documents,...
Abstract- Segmentation of text from poorly documented images is a very difficult task due to high mu...
The images are used in different field as Medical visualization, Image enhancement / restoration, Ar...