KartalOl: a new deep neural network framework based on transfer learning for iris segmentation and localization task—new dataset for iris segmentation

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource, 1 online resource.

Language: Englisch

Bibliographic citation: KartalOl: a new deep neural network framework based on transfer learning for iris segmentation and localization task—new dataset for iris segmentation ; day:13 ; month:4 ; year:2023 ; pages:1-13
Iran journal of computer science ; (13.4.2023), 1-13

Creator: Khiarak, Jalil Nourmohammadi
Oskouei, Amin Golzari
Nasab, Samaneh Salehi
Jaryani, Farhang
Moafinejad, Seyed Naeim
Pourmohamad, Rana
Amini, Yasin
Noshad, Morteza

Contributor: SpringerLink (Online service)

DOI: 10.1007/s42044-023-00141-0

URN: urn:nbn:de:101:1-2023082810140420558613

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 11:01 AM CEST

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Associated

Khiarak, Jalil Nourmohammadi
Oskouei, Amin Golzari
Nasab, Samaneh Salehi
Jaryani, Farhang
Moafinejad, Seyed Naeim
Pourmohamad, Rana
Amini, Yasin
Noshad, Morteza
SpringerLink (Online service)

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A new segmentation method for non-ideal iris images using morphological reconstruction FCM based on improved DSA

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Fig. 420. - Iris (Iris germanica):

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Quality-based iris segmentation-level fusion

Quality-based iris segmentation-level fusion

Lightweight and efficient dual-path fusion network for iris segmentation

Lightweight and efficient dual-path fusion network for iris segmentation

A new segmentation method for non-ideal iris images using morphological reconstruction FCM based on improved DSA

A new segmentation method for non-ideal iris images using morphological reconstruction FCM based on improved DSA

A hybrid method for accurate iris segmentation on at-a-distance visible-wavelength images

A hybrid method for accurate iris segmentation on at-a-distance visible-wavelength images

Review of iris segmentation and recognition using deep learning to improve biometric application

Review of iris segmentation and recognition using deep learning to improve biometric application

Augendiagnose : Iris-Konstitutionen, Iris-Strukturen, Iris-Pigmente

Augendiagnose : Iris-Konstitutionen, Iris-Strukturen, Iris-Pigmente

Iris-Blüte, Iris junica

Abschnitt | Fotografie

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Studie einer Iris (Iris Bulbosa)

Fig. 420. - Iris (Iris germanica):

Illustration

Fig. 420. - Iris (Iris germanica):

Iris

Illustration

Iris.

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Quality-based iris segmentation-level fusion

Quality-based iris segmentation-level fusion

Lightweight and efficient dual-path fusion network for iris segmentation

Lightweight and efficient dual-path fusion network for iris segmentation

A new segmentation method for non-ideal iris images using morphological reconstruction FCM based on improved DSA

A new segmentation method for non-ideal iris images using morphological reconstruction FCM based on improved DSA

A hybrid method for accurate iris segmentation on at-a-distance visible-wavelength images

A hybrid method for accurate iris segmentation on at-a-distance visible-wavelength images

Review of iris segmentation and recognition using deep learning to improve biometric application

Review of iris segmentation and recognition using deep learning to improve biometric application

Augendiagnose : Iris-Konstitutionen, Iris-Strukturen, Iris-Pigmente

Augendiagnose : Iris-Konstitutionen, Iris-Strukturen, Iris-Pigmente

Iris-Blüte, Iris junica

Abschnitt | Fotografie

Iris-Blüte, Iris junica

Studie einer Iris (Iris Bulbosa)

Zeichnung

Studie einer Iris (Iris Bulbosa)

Fig. 420. - Iris (Iris germanica):

Illustration

Fig. 420. - Iris (Iris germanica):

Iris

Illustration

Iris.

Trockenpräparat

Iris

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