Volume 8 Issue 1 - January 2017

  • 1. Efficient face recognition using convolutional neural networks

    Authors : T.syed Akheel, Dr.s.a.k Jilani

    Pages : 465-471

    DOI : http://dx.doi.org/10.21172/1.81.059

    Keywords : Convolution neural networks, Siamese network, Convolutional auto-encoder

    Abstract :

    In this paper we present a new technique for face recognition with Convolutional auto-encoder with neural network. The face recognition is the crucial step for many applications like surveillance, access control or human-computer interaction. Existing Convolution Neural Network (CNN) based methods for face recognition are not robust and reliable .We propose a novel face recognition approach based Convolution neural network and Siamese network. As a standout amongst the best uses of picture examination and comprehension, face acknowledgment has as of late gotten huge consideration, particularly amid the past quite a long while. No less than two reasons represent this pattern: the first is the extensive variety of business and law authorization applications, and the second is the accessibility of achievable advancements since years of exploration. Despite the fact that present machine acknowledgment frameworks have achieved a specific level of development, their prosperity is constrained by the conditions forced by numerous genuine applications. For instance, acknowledgment of face pictures procured in an open air environment with changes in light or posture remains a great extent unsolved issue. At the end of the day, current frameworks are still far away from the ability of the human discernment framework. In this paper we present a survey of latest state of the art techniques for face recognition

    Citing this Journal Article :

    T.syed Akheel, Dr.s.a.k Jilani , "Efficient face recognition using convolutional neural networks ", https://www.ijltet.org/journal_details.php?id=910&j_id=3619, Volume 8 Issue 1 - January 2017, 465-471, #ijltetorg