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Iris Super-Resoluti...
Iris Super-Resolution using CNNs : is Photo-Realism Important to Iris Recognition?
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- Ribeiro, Eduardo (författare)
- University of Salzburg, Salzburg, Austria & Federal University of Tocantins, Palmas, Brazil
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- Uhl, Andreas (författare)
- University of Salzburg, Salzburg, Austria
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- Alonso-Fernandez, Fernando, 1978- (författare)
- Högskolan i Halmstad,CAISR Centrum för tillämpade intelligenta system (IS-lab)
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(creator_code:org_t)
- 2018-08-24
- 2019
- Engelska.
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Ingår i: IET Biometrics. - Stevenage : Institution of Engineering and Technology. - 2047-4938 .- 2047-4946. ; 8:1, s. 69-78
- Relaterad länk:
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https://doi.org/10.1...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- The use of low-resolution images adopting more relaxed acquisition conditions such as mobile phones and surveillance videos is becoming increasingly common in Iris Recognition nowadays. Concurrently, a great variety of single image Super-Resolution techniques are emerging, specially with the use of convolutional neural networks. The main objective of these methods is to try to recover finer texture details generating more photo-realistic images based on the optimization of an objective function depending basically on the CNN architecture and the training approach. In this work, we explore single image Super-Resolution using CNNs for iris recognition. For this, we test different CNN architectures as well as the use of different training databases, validating our approach on a database of 1.872 near infrared iris images and on a mobile phone image database. We also use quality assessment, visual results and recognition experiments to verify if the photo-realism provided by the CNNs which have already proven to be effective for natural images can reflect in a better recognition rate for Iris Recognition. The results show that using deeper architectures trained with texture databases that provide a balance between edge preservation and the smoothness of the method can lead to good results in the iris recognition process. © The Institution of Engineering and Technology 2015
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
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