Add to ORKGAbstract: In this paper a line detection and segmentation technique is presented. The proposed technique is an improved version of an older one. The experiments have been performed on the training dataset of the ICDAR 2009 handwriting segmentation contest in order to be able to compare, objectively, the performance of the two techniques. The improvement between the older and newer version is more than 24 % while the average extra CPU time cost is less than 200 ms per page
Variations in inter-line gaps and skewed or curled text-lines are some of the challenging issues in ...
This paper presents the results of the Handwriting Segmentation Contest that was organized in the co...
Abstract. Text line extraction is the first and one of the most critical steps in optical character ...
In this paper a line detection and segmentation technique is presented. The proposed technique is an...
Line and word segmentation is a key-step in any document image analysis system. It can be used for i...
Line segmentation is very crucial in handwritten text recognition/analysis task. A new text line ext...
This paper presents the results of the Handwriting Segmentation Contest that was organized in the co...
Text line segmentation is an important step because inaccurately segmented text lines will cause err...
In the case of freestyle everyday handwritten documents, writing, erasing, striking out, and overwri...
International audienceIn this paper, we present our new method for the segmentation of handwritten t...
This paper describes a text-line identification and segmentation technique that is probability based...
This paper describes a text-line identification and seg-mentation technique that is probability base...
Text line segmentation in freestyle handwritten documents remains an open document analysis problem....
Abstract- Text line segmentation is a very crucial step in optical character recognition. Poor line ...
Text extraction is an important phase in document recognition systems. In order to segment text from...
Variations in inter-line gaps and skewed or curled text-lines are some of the challenging issues in ...
This paper presents the results of the Handwriting Segmentation Contest that was organized in the co...
Abstract. Text line extraction is the first and one of the most critical steps in optical character ...
In this paper a line detection and segmentation technique is presented. The proposed technique is an...
Line and word segmentation is a key-step in any document image analysis system. It can be used for i...
Line segmentation is very crucial in handwritten text recognition/analysis task. A new text line ext...
This paper presents the results of the Handwriting Segmentation Contest that was organized in the co...
Text line segmentation is an important step because inaccurately segmented text lines will cause err...
In the case of freestyle everyday handwritten documents, writing, erasing, striking out, and overwri...
International audienceIn this paper, we present our new method for the segmentation of handwritten t...
This paper describes a text-line identification and segmentation technique that is probability based...
This paper describes a text-line identification and seg-mentation technique that is probability base...
Text line segmentation in freestyle handwritten documents remains an open document analysis problem....
Abstract- Text line segmentation is a very crucial step in optical character recognition. Poor line ...
Text extraction is an important phase in document recognition systems. In order to segment text from...
Variations in inter-line gaps and skewed or curled text-lines are some of the challenging issues in ...
This paper presents the results of the Handwriting Segmentation Contest that was organized in the co...
Abstract. Text line extraction is the first and one of the most critical steps in optical character ...