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Introducing a very large dataset of handwritten Farsi digits and a study on their varieties

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Title: Introducing a very large dataset of handwritten Farsi digits and a study on their varieties
Authors: Khosravi, Hossein1,2 hosseinkhosravi@gmail.com, Kabir, Ehsanollah1 kabir@modares.ac.ir
Source: Pattern Recognition Letters. Jul2007, Vol. 28 Issue 10, p1133-1141. 9p.
Subjects: Writing of numerals, Scanning systems, High school students, Binary number system, Mathematics research
Abstract: Abstract: A very large dataset of handwritten Farsi digits is introduced. Binary images of 102,352 digits were extracted from about 12,000 registration forms of two types, filled by B.Sc. and senior high school students. These forms were scanned at 200dpi with a high speed scanner. A method for finding variety of handwritten digits in a typical dataset is proposed. Based on this method, training and test subsets are provided to facilitate sharing of results among researchers as well as performance comparison. [Copyright &y& Elsevier]
Copyright of Pattern Recognition Letters is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 25032333
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Introducing a very large dataset of handwritten Farsi digits and a study on their varieties
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  Data: <searchLink fieldCode="AR" term="%22Khosravi%2C+Hossein%22">Khosravi, Hossein</searchLink><relatesTo>1,2</relatesTo><i> hosseinkhosravi@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Kabir%2C+Ehsanollah%22">Kabir, Ehsanollah</searchLink><relatesTo>1</relatesTo><i> kabir@modares.ac.ir</i>
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  Data: <searchLink fieldCode="JN" term="%22Pattern+Recognition+Letters%22">Pattern Recognition Letters</searchLink>. Jul2007, Vol. 28 Issue 10, p1133-1141. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Writing+of+numerals%22">Writing of numerals</searchLink><br /><searchLink fieldCode="DE" term="%22Scanning+systems%22">Scanning systems</searchLink><br /><searchLink fieldCode="DE" term="%22High+school+students%22">High school students</searchLink><br /><searchLink fieldCode="DE" term="%22Binary+number+system%22">Binary number system</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics+research%22">Mathematics research</searchLink>
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  Label: Abstract
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  Data: Abstract: A very large dataset of handwritten Farsi digits is introduced. Binary images of 102,352 digits were extracted from about 12,000 registration forms of two types, filled by B.Sc. and senior high school students. These forms were scanned at 200dpi with a high speed scanner. A method for finding variety of handwritten digits in a typical dataset is proposed. Based on this method, training and test subsets are provided to facilitate sharing of results among researchers as well as performance comparison. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Pattern Recognition Letters is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.patrec.2006.12.022
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      – Code: eng
        Text: English
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        PageCount: 9
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    Subjects:
      – SubjectFull: Writing of numerals
        Type: general
      – SubjectFull: Scanning systems
        Type: general
      – SubjectFull: High school students
        Type: general
      – SubjectFull: Binary number system
        Type: general
      – SubjectFull: Mathematics research
        Type: general
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      – TitleFull: Introducing a very large dataset of handwritten Farsi digits and a study on their varieties
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            NameFull: Khosravi, Hossein
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            NameFull: Kabir, Ehsanollah
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              M: 07
              Text: Jul2007
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              Y: 2007
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              Value: 28
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              Value: 10
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            – TitleFull: Pattern Recognition Letters
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