Text Extraction from Historical Document Images by the Combination of Several Thresholding Techniques
This paper presents a new technique for the binarization of historical document images characterized by deteriorations and damages making their automatic processing difficult at several levels. The proposed method is based on hybrid thresholding combining the advantages of global and local methods a...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2014/934656 |
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| _version_ | 1832568362921623552 |
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| author | Toufik Sari Abderrahmane Kefali Halima Bahi |
| author_facet | Toufik Sari Abderrahmane Kefali Halima Bahi |
| author_sort | Toufik Sari |
| collection | DOAJ |
| description | This paper presents a new technique for the binarization of historical document images characterized by deteriorations and damages making their automatic processing difficult at several levels. The proposed method is based on hybrid thresholding combining the advantages of global and local methods and on the mixture of several binarization techniques. Two stages have been included. In the first stage, global thresholding is applied on the entire image and two different thresholds are determined from which the most of image pixels are classified into foreground or background. In the second stage, the remaining pixels are assigned to foreground or background classes based on local analysis. In this stage, several local thresholding methods are combined and the final binary value of each remaining pixel is chosen as the most probable one. The proposed technique has been tested on a large collection of standard and synthetic documents and compared with well-known methods using standard measures and was shown to be more powerful. |
| format | Article |
| id | doaj-art-641cab07a8e241ef90e6786845a37266 |
| institution | Kabale University |
| issn | 1687-5680 1687-5699 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-641cab07a8e241ef90e6786845a372662025-02-03T00:59:15ZengWileyAdvances in Multimedia1687-56801687-56992014-01-01201410.1155/2014/934656934656Text Extraction from Historical Document Images by the Combination of Several Thresholding TechniquesToufik Sari0Abderrahmane Kefali1Halima Bahi2LabGED Laboratory, Badji Mokhtar, BP 12, 23000 Annaba, AlgeriaLabGED Laboratory, Badji Mokhtar, BP 12, 23000 Annaba, AlgeriaLabGED Laboratory, Badji Mokhtar, BP 12, 23000 Annaba, AlgeriaThis paper presents a new technique for the binarization of historical document images characterized by deteriorations and damages making their automatic processing difficult at several levels. The proposed method is based on hybrid thresholding combining the advantages of global and local methods and on the mixture of several binarization techniques. Two stages have been included. In the first stage, global thresholding is applied on the entire image and two different thresholds are determined from which the most of image pixels are classified into foreground or background. In the second stage, the remaining pixels are assigned to foreground or background classes based on local analysis. In this stage, several local thresholding methods are combined and the final binary value of each remaining pixel is chosen as the most probable one. The proposed technique has been tested on a large collection of standard and synthetic documents and compared with well-known methods using standard measures and was shown to be more powerful.http://dx.doi.org/10.1155/2014/934656 |
| spellingShingle | Toufik Sari Abderrahmane Kefali Halima Bahi Text Extraction from Historical Document Images by the Combination of Several Thresholding Techniques Advances in Multimedia |
| title | Text Extraction from Historical Document Images by the Combination of Several Thresholding Techniques |
| title_full | Text Extraction from Historical Document Images by the Combination of Several Thresholding Techniques |
| title_fullStr | Text Extraction from Historical Document Images by the Combination of Several Thresholding Techniques |
| title_full_unstemmed | Text Extraction from Historical Document Images by the Combination of Several Thresholding Techniques |
| title_short | Text Extraction from Historical Document Images by the Combination of Several Thresholding Techniques |
| title_sort | text extraction from historical document images by the combination of several thresholding techniques |
| url | http://dx.doi.org/10.1155/2014/934656 |
| work_keys_str_mv | AT toufiksari textextractionfromhistoricaldocumentimagesbythecombinationofseveralthresholdingtechniques AT abderrahmanekefali textextractionfromhistoricaldocumentimagesbythecombinationofseveralthresholdingtechniques AT halimabahi textextractionfromhistoricaldocumentimagesbythecombinationofseveralthresholdingtechniques |