Advanced face recognition and verification in mobile platforms. Issue 2 (6th May 2014)

• Record Type: Journal Article
• Authors: Lee, Yong-Hwan; Ahn, Hyochang; Cho, Han-Jin; Lee, June-Hwan
• Editors: Hyejung Jang, Dr Wanbok Lee, Dr K. Chung and Prof. Jungsoo Han, Prof.
• Is Part Of: Journal of systems and information technology. Volume 16:Issue 2(2014)
• Page Start: 126
• Page End: 137
• Publication Date: 2014-05-06
• Subjects: Face detection -- Face recognition and verification -- Triangle-square transformation; Management information systems -- Periodicals; Information storage and retrieval systems -- Periodicals; Information technology -- Periodicals; 004.205
• DOI: 10.1108/JSIT-11-2013-0060
• Languages: English
• ISSNs: 1328-7265

Abstract

Abstract : Purpose: – This paper holds a big advantage to enable to recognize faces, regardless of time and place. Also this provides an independent performance of smart phone, because of its process by a computer of third party not by that of the mobile device. In addition, it is desirable to minimize the expensive operations in mobile device with constraint computational power (i.e. battery consumption). Thus, the authors exclude the process of transmission failed from the input device. The paper aims to discuss these issues. Design/methodology/approach: – In this paper, the authors have proposed a new face detection and verification algorithm, based on skin color detection to enable extracting the face region from color images of the mobile phone. And then extracted the facial feature as eigenface, verified whether or not the identity of users is right, applied support vector machine to the region of detected face. Findings: – The experimental results for two datasets show that the proposed method achieves slightly higher efficiencies at the detection and verification of user identity, compared with other method, where varying lighting conditions with complex backgrounds, according to be fast and accurate than any other previous methods. Originality/value: – The proposed algorithm enables to implement fast and accurate search using triangle-square transformation for detection of human faces in a digital still color images, obtained by the mobile device camera under unconstraint environments, using advanced skin color model and characteristic points in a detected face.