A New Large-Scale Multi-purpose Handwritten Farsi Database
Identifieur interne : 000A29 ( Main/Exploration ); précédent : 000A28; suivant : 000A30A New Large-Scale Multi-purpose Handwritten Farsi Database
Auteurs : Jifroodian Haghighi [Canada] ; Nicola Nobile [Canada] ; Lei He [Canada] ; Y. Suen [Canada]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2009.
Abstract
Abstract: This paper introduces the Center for Pattern Recognition and Machine Intelligence (CENPARMI) Farsi dataset which can be used to measure the performance of handwritten recognition and word spotting systems. This dataset is unique in terms of its large number of gray and binary images (432,357 each) consisting of dates, words, isolated letters, isolated digits, numeral strings, special symbols, and documents. The data was collected from 400 native Farsi writers. The selection of Farsi words has been based on their high frequency in financial documents. The dataset is divided into grouped and ungrouped subsets which will give the user the flexibility of whether or not to use CENPARMI’s pre-divided dataset (60% of the images are used as the Training set, 20% of the images as the Validation set, and the rest as the Testing set). Finally, experiments have been conducted on the Farsi isolated digits with a recognition rate of 96.85%.
Url:
DOI: 10.1007/978-3-642-02611-9_28
Affiliations:
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Suen</name><affiliation wicri:level="1"><country xml:lang="fr">Canada</country><wicri:regionArea>CENPARMI (Centre for Pattern Recognition and Machine Intelligence) Computer Science and Software Engineering Department, Concordia University, Montreal, Quebec</wicri:regionArea><wicri:noRegion>Quebec</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Canada</country></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2009</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">A4FE5BA5844FA8B5E8D85EFA005FA511BA6D2BAF</idno><idno type="DOI">10.1007/978-3-642-02611-9_28</idno><idno type="ChapterID">28</idno><idno type="ChapterID">Chap28</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: This paper introduces the Center for Pattern Recognition and Machine Intelligence (CENPARMI) Farsi dataset which can be used to measure the performance of handwritten recognition and word spotting systems. This dataset is unique in terms of its large number of gray and binary images (432,357 each) consisting of dates, words, isolated letters, isolated digits, numeral strings, special symbols, and documents. The data was collected from 400 native Farsi writers. The selection of Farsi words has been based on their high frequency in financial documents. The dataset is divided into grouped and ungrouped subsets which will give the user the flexibility of whether or not to use CENPARMI’s pre-divided dataset (60% of the images are used as the Training set, 20% of the images as the Validation set, and the rest as the Testing set). Finally, experiments have been conducted on the Farsi isolated digits with a recognition rate of 96.85%.</div></front></TEI><affiliations><list><country><li>Canada</li></country></list><tree><country name="Canada"><noRegion><name sortKey="Haghighi, Jifroodian" sort="Haghighi, Jifroodian" uniqKey="Haghighi J" first="Jifroodian" last="Haghighi">Jifroodian Haghighi</name></noRegion><name sortKey="Haghighi, Jifroodian" sort="Haghighi, Jifroodian" uniqKey="Haghighi J" first="Jifroodian" last="Haghighi">Jifroodian Haghighi</name><name sortKey="He, Lei" sort="He, Lei" uniqKey="He L" first="Lei" last="He">Lei He</name><name sortKey="He, Lei" sort="He, Lei" uniqKey="He L" first="Lei" last="He">Lei He</name><name sortKey="Nobile, Nicola" sort="Nobile, Nicola" uniqKey="Nobile N" first="Nicola" last="Nobile">Nicola Nobile</name><name sortKey="Nobile, Nicola" sort="Nobile, Nicola" uniqKey="Nobile N" first="Nicola" last="Nobile">Nicola Nobile</name><name sortKey="Suen, Y" sort="Suen, Y" uniqKey="Suen Y" first="Y." last="Suen">Y. Suen</name><name sortKey="Suen, Y" sort="Suen, Y" uniqKey="Suen Y" first="Y." last="Suen">Y. Suen</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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