A Multilevel Text-Line Segmentation Framework for Handwritten Historical Documents
Text-line segmentation is considered as a crucial step of document analysis and recognition systems because its output is considered as the input of recognition systems. Due to the reason that the same handwritten image page has different characteristics, we propose in this paper a multilevel segmen...
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| creator | Messaoud, I. B. Amiri, H. Abed, H. E. Margner, V. |
| description | Text-line segmentation is considered as a crucial step of document analysis and recognition systems because its output is considered as the input of recognition systems. Due to the reason that the same handwritten image page has different characteristics, we propose in this paper a multilevel segmentation framework for handwritten historical documents. In this framework, one or many segmentation methods are selected according to the input document features. This framework is tested on the IAM historical database (60 images) and on images from the segmentation competition for handwritten document segmentation held at ICFHR 2010. The evaluation of the segmentation framework is based on several evaluation metrics. The tests show that the proposed framework gives promoting results. |
| doi_str_mv | 10.1109/ICFHR.2012.159 |
| format | Conference Proceeding |
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This framework is tested on the IAM historical database (60 images) and on images from the segmentation competition for handwritten document segmentation held at ICFHR 2010. The evaluation of the segmentation framework is based on several evaluation metrics. The tests show that the proposed framework gives promoting results.</description><subject>Equations</subject><subject>evaluation metrics</subject><subject>Feature extraction</subject><subject>Frequency modulation</subject><subject>Image segmentation</subject><subject>Mathematical model</subject><subject>Measurement</subject><subject>Silicon</subject><subject>text line features</subject><subject>Text line segmentation</subject><isbn>9781467322621</isbn><isbn>1467322628</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj8tOwzAURC2hSkDplg0b_0DK9TteVoGSSkFIpawrJ71GhjyQ41L697SC1SxG52iGkFsGc8bA3q-KZbmec2B8zpS9IDNrcia1EZxrzibk-lxZYSGXl2Q2jh8AcAINMLgi6wV93rcptPiNLd3gT8qq0CN9xfcO--RSGHq6jK7DwxA_qR8iLV2_O8SQEva0DGMaYmhcSx-GZn9Gxhsy8a4dcfafU_K2fNwUZVa9PK2KRZUFZlTKrJNMK-N1bkQjjPVOcectgva1rRVIv6sBT1MNnm41OSBXQiortJM7J7yYkrs_b0DE7VcMnYvHrZZcSmnEL3ExUEw</recordid><startdate>201209</startdate><enddate>201209</enddate><creator>Messaoud, I. 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E.</au><au>Margner, V.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A Multilevel Text-Line Segmentation Framework for Handwritten Historical Documents</atitle><btitle>2012 International Conference on Frontiers in Handwriting Recognition</btitle><stitle>icfhr</stitle><date>2012-09</date><risdate>2012</risdate><spage>515</spage><epage>520</epage><pages>515-520</pages><isbn>9781467322621</isbn><isbn>1467322628</isbn><coden>IEEPAD</coden><abstract>Text-line segmentation is considered as a crucial step of document analysis and recognition systems because its output is considered as the input of recognition systems. Due to the reason that the same handwritten image page has different characteristics, we propose in this paper a multilevel segmentation framework for handwritten historical documents. In this framework, one or many segmentation methods are selected according to the input document features. 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| subjects | Equations evaluation metrics Feature extraction Frequency modulation Image segmentation Mathematical model Measurement Silicon text line features Text line segmentation |
| title | A Multilevel Text-Line Segmentation Framework for Handwritten Historical Documents |
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