Authors: A. Parivazhagan; A. Brintha Therese
Addresses: School of Electronics Engineering, VIT University, Chennai Campus, Vandalur – Kelambakkam Road, Chennai, Tamilnadu – 600127, India ' School of Electronics Engineering, VIT University, Chennai Campus, Vandalur – Kelambakkam Road, Chennai, Tamilnadu – 600127, India
Abstract: Face biometric plays a significant role in human authentication system; today in several sectors to recognise a person face biometrics are used. Still, in accuracy point of view, there is a lag in the perfect recognition system. In this work, ideas are proposed to develop novel face recognition, face detection, and face detection cum recognition system. A novel Gray-averaging technique is combined with blooming feature extraction techniques called location averaging technique and max-min comparison technique for face recognition and face detection. An existing frequency domain process DCT is also joined with this system. In this system spatial domain and frequency domain techniques are united, hence it acts as a bridge between these two techniques. The face detection cum recognition system is validated using parameters like image size, runtime, and accuracy with few face databases. This novel system is examined through five standard face databases and 300 real-life face images.
Keywords: face recognition; face detection; location averaging technique; max-min comparison; Gray-averaging technique; discrete cosine transform; feature extraction; human authentication; face biometric; face detection cum recognition.
International Journal of Biometrics, 2018 Vol.10 No.4, pp.315 - 333
Available online: 02 Oct 2018 *Full-text access for editors Access for subscribers Purchase this article Comment on this article