Add to ORKGA single-parameter text-line extraction algorithm is described along with an efficient technique for estimating the optimal value for the parameter for individual images without need for ground truth. The algorithm is based on three simple tree operations, cut, glue and flip. An XY-tree representing the segmentation is incrementally transformed to reflect a change in the parameter while intrinsic measures of the cost of the transformation are used to detect when specific tree operations would cause an error if they were performed, allowing these errors to be avoided. The algorithm correctly identified 98.8% of the area of the ground truth bounding boxes and committed no column bridging errors on a set of 97 test images selected from a varie...
The image segmentation is often used to trace the thing and bounds like line and curves in a picture...
Abstract- Segmentation of text from poorly documented images is a very difficult task due to high mu...
Segmentation of the text lines in an un-constrained handwritten documents still a challenging task b...
A single-parameter text-line extraction algorithm is described along with an efficient technique for...
Column Segmentation logically precedes OCR in the document analysis process. The trainable algorithm...
A method is presented for the efficient segmentation of text lines from scanned images of technical ...
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...
ACM Computing Classification System (1998): I.7, I.7.5.In this paper an approach to document line se...
Line and word segmentation is a key-step in any document image analysis system. It can be used for i...
The first step in the text recognition process is represented by the text line segmentation procedu...
We propose an unsupervised feature learning approach for segmenting text lines of handwritten docume...
Many image segmentation algorithms are known, but often there is an inherent obstacle in the unbias...
The goal of this work is to add the capability to segment documents containing text, graphics, and p...
Text extraction is an important phase in document recognition systems. In order to segment text from...
The image segmentation is often used to trace the thing and bounds like line and curves in a picture...
Abstract- Segmentation of text from poorly documented images is a very difficult task due to high mu...
Segmentation of the text lines in an un-constrained handwritten documents still a challenging task b...
A single-parameter text-line extraction algorithm is described along with an efficient technique for...
Column Segmentation logically precedes OCR in the document analysis process. The trainable algorithm...
A method is presented for the efficient segmentation of text lines from scanned images of technical ...
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...
ACM Computing Classification System (1998): I.7, I.7.5.In this paper an approach to document line se...
Line and word segmentation is a key-step in any document image analysis system. It can be used for i...
The first step in the text recognition process is represented by the text line segmentation procedu...
We propose an unsupervised feature learning approach for segmenting text lines of handwritten docume...
Many image segmentation algorithms are known, but often there is an inherent obstacle in the unbias...
The goal of this work is to add the capability to segment documents containing text, graphics, and p...
Text extraction is an important phase in document recognition systems. In order to segment text from...
The image segmentation is often used to trace the thing and bounds like line and curves in a picture...
Abstract- Segmentation of text from poorly documented images is a very difficult task due to high mu...
Segmentation of the text lines in an un-constrained handwritten documents still a challenging task b...