A robust iris localization method of facial faces
We present a fast method for locating iris features in frontal face images based on the Hough transform. The aim of this work is to detect the circles surrounding the exterior iris pattern from a set of facial images. The circular Hough transform is used for this purpose, a first edge detection tech...
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| creator | Cherabit, N. Chelali, F. Z. Djeradi, A. |
| description | We present a fast method for locating iris features in frontal face images based on the Hough transform. The aim of this work is to detect the circles surrounding the exterior iris pattern from a set of facial images. The circular Hough transform is used for this purpose, a first edge detection technique is used for finding the edges in the input image. After the characteristics points of circles are detected and drawn this last on the original image then, the pattern of the iris is extracted. |
| doi_str_mv | 10.1109/ICMCS.2011.5945571 |
| format | Conference Proceeding |
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After the characteristics points of circles are detected and drawn this last on the original image then, the pattern of the iris is extracted.</description><identifier>ISBN: 1612847307</identifier><identifier>ISBN: 9781612847306</identifier><identifier>EISBN: 9781612847313</identifier><identifier>EISBN: 1612847323</identifier><identifier>EISBN: 9781612847320</identifier><identifier>EISBN: 1612847315</identifier><identifier>DOI: 10.1109/ICMCS.2011.5945571</identifier><language>eng</language><publisher>IEEE</publisher><subject>Equations ; face detection ; face recognition ; hough transform ; Image edge detection ; Image segmentation ; Iris ; iris detection ; Iris recognition ; Mathematical model ; Transforms</subject><ispartof>2011 International Conference on Multimedia Computing and Systems, 2011, p.1-5</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5945571$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5945571$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Cherabit, N.</creatorcontrib><creatorcontrib>Chelali, F. 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After the characteristics points of circles are detected and drawn this last on the original image then, the pattern of the iris is extracted.</description><subject>Equations</subject><subject>face detection</subject><subject>face recognition</subject><subject>hough transform</subject><subject>Image edge detection</subject><subject>Image segmentation</subject><subject>Iris</subject><subject>iris detection</subject><subject>Iris recognition</subject><subject>Mathematical model</subject><subject>Transforms</subject><isbn>1612847307</isbn><isbn>9781612847306</isbn><isbn>9781612847313</isbn><isbn>1612847323</isbn><isbn>9781612847320</isbn><isbn>1612847315</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1j8tOwzAURI0QEtDmB2DjH0jwtePXsop4VCpi0e6r6_haGKUExWEBX08RZTZHszmaYewGRAMg_N26e-62jRQAjfat1hbOWOWtAwPStVaBOmfX_0XYS1aV8iaOMcYrp64YrPg0hs8y8zzlwoexxyF_45zHd36g-XWMfEw8YZ9x-AWVJbtIOBSqTlyw3cP9rnuqNy-P6261qbMXc93rIIhUND6CIW2dpiQxIvpWHceADDFhDFI475J2AZ2PxskgbWj7mLRasNs_bSai_ceUDzh97U8n1Q_VzkVe</recordid><startdate>201104</startdate><enddate>201104</enddate><creator>Cherabit, N.</creator><creator>Chelali, F. 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Z. ; Djeradi, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-c5b0ee3d69d16e5785ef2adaa94328412bdfadb20898f58ba89d682b27b4cdf53</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Equations</topic><topic>face detection</topic><topic>face recognition</topic><topic>hough transform</topic><topic>Image edge detection</topic><topic>Image segmentation</topic><topic>Iris</topic><topic>iris detection</topic><topic>Iris recognition</topic><topic>Mathematical model</topic><topic>Transforms</topic><toplevel>online_resources</toplevel><creatorcontrib>Cherabit, N.</creatorcontrib><creatorcontrib>Chelali, F. Z.</creatorcontrib><creatorcontrib>Djeradi, A.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Cherabit, N.</au><au>Chelali, F. Z.</au><au>Djeradi, A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A robust iris localization method of facial faces</atitle><btitle>2011 International Conference on Multimedia Computing and Systems</btitle><stitle>ICMCS</stitle><date>2011-04</date><risdate>2011</risdate><spage>1</spage><epage>5</epage><pages>1-5</pages><isbn>1612847307</isbn><isbn>9781612847306</isbn><eisbn>9781612847313</eisbn><eisbn>1612847323</eisbn><eisbn>9781612847320</eisbn><eisbn>1612847315</eisbn><abstract>We present a fast method for locating iris features in frontal face images based on the Hough transform. The aim of this work is to detect the circles surrounding the exterior iris pattern from a set of facial images. The circular Hough transform is used for this purpose, a first edge detection technique is used for finding the edges in the input image. After the characteristics points of circles are detected and drawn this last on the original image then, the pattern of the iris is extracted.</abstract><pub>IEEE</pub><doi>10.1109/ICMCS.2011.5945571</doi><tpages>5</tpages></addata></record> |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Equations face detection face recognition hough transform Image edge detection Image segmentation Iris iris detection Iris recognition Mathematical model Transforms |
| title | A robust iris localization method of facial faces |
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