Aging Face Recognition Using Deep Learning

Yogita Mahajan, Shanta Sondur

Deep learning based approaches has gained very optimistic results in face recognition area. Face recognition is become very effective research topic and has a of a number of attainments. Also there are some researches for periocular recognition to overcome limitations of entire face recognition. The challenges of aging in periocular recognition has not gained attention after its achievements. Deep learning approaches are used to overcome many challenges of face recognition such as pose, expression, illumination and aging. Periocular images recognition under less restricted environments is the problem researchers faced in face recognition. But proposed approach has a new structure that can get efficient periocular recognition. This work focuses on the aging face recognition problems of entire face image based on a deep learning method, in particular, convolutional neural network. The proposed methodology gives a deep learning based approach for periocular recognition subject to aging. Using a CNN feature extraction and classification characteristic of deep learning gives an accurate and efficient recognition rate as compared to conventional method.

https://dx.doi.org/10.31873/IJEAS.5.8.17