Nelufule, NthatheniMabuza-Hocquet, Gugulethu PDe Kock, Antonie J2021-02-172021-02-172020-01Nelufule, N., Mabuza-Hocquet, G.P. & De Kock, A.J. 2020. Circular interpolation techniques towards accurate segmentation of iris biometric images for infants (conference paper). http://hdl.handle.net/10204/11782 .978-1-7281-4162-6http://hdl.handle.net/10204/11782In most biometric modalities, recognition and authentication methods for adults have already been fully designed, developed and commercially available. However, for infants and children who are the most vulnerable population to abduction, swapping at hospitals and illegal adoption, such technologies are still lacking. Another challenge is that the current commercial devices are accompanied by locked-in software, which makes devices procurement in bulks unaffordable, especially for local governments in developing countries. Achieving recognition using existing algorithms for images acquired from young children also poses a challenge, since the algorithms have been developed with adults in mind. This paper presents part of a bigger project aimed at developing a multimodal biometric system for infants and children as they grow. With a dedicated focus towards iris recognition, this paper proposes an iris detection method using circular Hough transforms with circular interpolation to achieve successful iris segmentation from a database with the youngest infant being six weeks old. The proposed method outperforms the state-of-the-art iris detection algorithms with segmentation accuracy of 98% for the images within our database.AbstractenChildren biometricsIris detectionPupil detectionPupil glare removalHough circlesHough transformsCircular interpolationIris detectionConference PresentationNelufule, N., Mabuza-Hocquet, G. P., & De Kock, A. J. (2020). Circular interpolation techniques towards accurate segmentation of iris biometric images for infants (conference paper). http://hdl.handle.net/10204/11782Nelufule, Nthatheni, Gugulethu P Mabuza-Hocquet, and Antonie J De Kock. "Circular interpolation techniques towards accurate segmentation of iris biometric images for infants (conference paper)." <i>2020 International SAUPEC/RobMech/PRASA Conference, Cape Town, South Africa, 29-31 January 2020</i> (2020): http://hdl.handle.net/10204/11782Nelufule N, Mabuza-Hocquet GP, De Kock AJ, Circular interpolation techniques towards accurate segmentation of iris biometric images for infants (conference paper); 2020. http://hdl.handle.net/10204/11782 .TY - Conference Presentation AU - Nelufule, Nthatheni AU - Mabuza-Hocquet, Gugulethu P AU - De Kock, Antonie J AB - In most biometric modalities, recognition and authentication methods for adults have already been fully designed, developed and commercially available. However, for infants and children who are the most vulnerable population to abduction, swapping at hospitals and illegal adoption, such technologies are still lacking. Another challenge is that the current commercial devices are accompanied by locked-in software, which makes devices procurement in bulks unaffordable, especially for local governments in developing countries. Achieving recognition using existing algorithms for images acquired from young children also poses a challenge, since the algorithms have been developed with adults in mind. This paper presents part of a bigger project aimed at developing a multimodal biometric system for infants and children as they grow. With a dedicated focus towards iris recognition, this paper proposes an iris detection method using circular Hough transforms with circular interpolation to achieve successful iris segmentation from a database with the youngest infant being six weeks old. The proposed method outperforms the state-of-the-art iris detection algorithms with segmentation accuracy of 98% for the images within our database. DA - 2020-01 DB - ResearchSpace DP - CSIR J1 - 2020 International SAUPEC/RobMech/PRASA Conference, Cape Town, South Africa, 29-31 January 2020 KW - Children biometrics KW - Iris detection KW - Pupil detection KW - Pupil glare removal KW - Hough circles KW - Hough transforms KW - Circular interpolation KW - Iris detection LK - https://researchspace.csir.co.za PY - 2020 SM - 978-1-7281-4162-6 T1 - Circular interpolation techniques towards accurate segmentation of iris biometric images for infants (conference paper) TI - Circular interpolation techniques towards accurate segmentation of iris biometric images for infants (conference paper) UR - http://hdl.handle.net/10204/11782 ER -24182