<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>Text line segmentation represents the key element in the optical character recognition process. Hence, testing of text line segmentation algorithms has substantial relevance. All previously proposed testing methods deal mainly with text database as a template. They are used for testing as well as for the evaluation of the text segmentation algorithm. In this manuscript, methodology for the evaluation of the algorithm for text segmentation based on extended binary classification is proposed. It is established on the various multiline text samples linked with text segmentation. Their results are distributed according to binary classification. Final result is obtained by comparative analysis of cross linked data. At the end, its suitability for different types of scripts represents its main advantage.</p></abstract>

Text line segmentation represents the key element in the optical character recognition process. Hence, testing of text line segmentation algorithms has substantial relevance. All previously proposed testing methods deal mainly with text database as a template. They are used for testing as well as for the evaluation of the text segmentation algorithm. In this manuscript, methodology for the evaluation of the algorithm for text segmentation based on extended binary classification is proposed. It is established on the various multiline text samples linked with text segmentation. Their results are distributed according to binary classification. Final result is obtained by comparative analysis of cross linked data. At the end, its suitability for different types of scripts represents its main advantage.

Methodology for the Evaluation of the Algorithms for Text Line Segmentation Based on Extended Binary Classification

Technical Faculty Bor, University of Belgrade, V. J. 12, 19210, Bor, Serbia

Measurement Science Review

Text line segmentation represents the key element in the optical character recognition process. Hence, testing of text line segmentation algorithms has...

Methodology for the Evaluation of the Algorithms for Text Line Segmentation Based on Extended Binary Classification

Online veröffentlicht: 12. Aug. 2011

Seitenbereich: 71 - 78

DOI: https://doi.org/10.2478/v10048-011-0016-z

Schlüsselwörter
Document image processing, text line segmentation, testing methodology

This content is open access.

Methodology for the Evaluation of the Algorithms for Text Line Segmentation Based on Extended Binary Classification

Online veröffentlicht: 12. Aug. 2011

Seitenbereich: 71 - 78

DOI: https://doi.org/10.2478/v10048-011-0016-z

SchlüsselwörterDocument image processing, text line segmentation, testing methodology

This content is open access.

Schlüsselwörter
Document image processing, text line segmentation, testing methodology