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Brodic D.,University of Belgrade | Milivojevic Z.N.,Technical college Nis
Radioengineering | Year: 2012

Binary moments represent one of the methods for the text skew estimation in binary images. It has been used widely for the skew identification of the printed text. However, the handwritten text consists of text objects, which are characterized with different skews. Hence, the method should be adapted for the hand written text. This is achieved with the image splitting into separate text objects made by the bounding boxes. Obtained text objects represent the isolated binary objects. The application of the moment-based method to each binary object evaluates their local text skews. Due to the accuracy, estimated skew data can be used as an input to the algorithms for the text line segmentation. Source


Brodic D.,University of Belgrade | Milivojevic Z.N.,Technical college Nis | Milivojevic D.R.,Serbian Mining and Metallurgy Institute
Elektronika ir Elektrotechnika | Year: 2012

The paper presents the approach to the algorithm for text line segmentation based on the anisotropic Gaussian kernel. As a result of this algorithm the growing region around text is exploited. Furthermore, anisotropic Gaussian kernel is rotated to improve text line segmentation process. Text objects orientation is evaluated by binary moments. For test purposes algorithm is evaluated under different text samples. From the obtained results comparative analysis between algorithm with anisotropic and oriented Gaussian kernel is made. At the end, benefits of the extended approach are revealed. Source


Brodic D.,University of Belgrade | Milivojevic Z.,Technical college Nis
10th Symposium on Neural Network Applications in Electrical Engineering, NEUREL-2010 - Proceedings | Year: 2010

This paper proposes a new approach to water flow algorithm for the text line segmentation. Original method assumes hypothetical water flows under few specified angles to the document image frame from left to right and vice versa. As a result, unwetted image frames are extracted. These areas are of major importance for text line segmentation. Method modifications mean extension values of water flow angle and unwetted image frames function enlargement. Results are encouraging due to text line segmentation improvement which is the most challenging process stage in document image processing. © 2010 IEEE. Source


Brodic D.,University of Belgrade | Milivojevic Z.,Technical college Nis
Journal of Universal Computer Science | Year: 2011

This paper proposes a new approach to water flow algorithm for the text line segmentation. Original method assumes hypothetical water flows under a few specified angles to the document image frame from left to right and vice versa. As a result, unwetted image frames are extracted. These areas are of major importance for text line segmentation. Method modifications mean extension values of water flow angle and unwetted image frames function enlargement. Results are encouraging due to text line segmentation improvement which is the most challenging process stage in document image processing. © J.UCS. Source


Brodic D.,University of Belgrade | Milivojevic D.R.,Serbian Mining and Metallurgy Institute | Milivojevic Z.N.,Technical college Nis
Sensors | Year: 2011

The paper introduces a testing framework for the evaluation and validation of text line segmentation algorithms. Text line segmentation represents the key action for correct optical character recognition. Many of the tests for the evaluation of text line segmentation algorithms deal with text databases as reference templates. Because of the mismatch, the reliable testing framework is required. Hence, a new approach to a comprehensive experimental framework for the evaluation of text line segmentation algorithms is proposed. It consists of synthetic multi-like text samples and real handwritten text as well. Although the tests are mutually independent, the results are cross-linked. The proposed method can be used for different types of scripts and languages. Furthermore, two different procedures for the evaluation of algorithm efficiency based on the obtained error type classification are proposed. The first is based on the segmentation line error description, while the second one incorporates well-known signal detection theory. Each of them has different capabilities and convenience, but they can be used as supplements to make the evaluation process efficient. Overall the proposed procedure based on the segmentation line error description has some advantages, characterized by five measures that describe measurement procedures. © 2011 by the authors; licensee MDPI, Basel, Switzerland. Source

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