Smartphones have become an important way to store sensitive information; therefore, users' privacy needs to be highly protected. This can be done by using the most reliable and …
M Shamsi, A Rasouli - Int Conf Comput Softw Model, 2011 - researchgate.net
Islamic Azad University, Bardsir, Kerman, Iran Abstract. Iris normalisation and feature extraction are two last stages of iris processing in iris recognition systems. In normalisation …
The Iris based identification systems have been noticed exceedingly, presently. In this process, the iris should be segmented from captured eye image. The low contrast between …
M Shamsi, AR Kenari - 2012 2nd International eConference on …, 2012 - ieeexplore.ieee.org
Iris segmentation is the principal task of Iris based biometric identification systems. Always the low contrast between pupil and iris always affects on accuracy of detecting boundary …
Multimodal biometric systems have been widely applied in many real-world applications due to its ability to deal with a number of significant limitations of unimodal biometric systems …
One of the difficult tasks in iris recognition is to detect the boundary between the iris region and the pupil region. This is due to the low texture contrast between them. In order to capture …
GEA Alberto, RQJ Alberto, VP Javier - Revista ELECTRO, 2019 - itchihuahua.mx
Se presenta la arquitectura de una red neuronal convolucional (CNN) de bajo costo basad a en el modelo AlexNet y se comparó su rendimiento con el de las arquitecturas CNN …
The purpose of this paper is to figure out how accuracy (EER) is related to the number of people in the database or saying it different with the number of images of each individual's …