Vision-based technique for secure recognition of voice-less commands. (1st December 2008)

• Record Type: Journal Article
• Authors: Yau, Wai Chee; Kumar, Dinesh Kant; Weghorn, Hans
• Is Part Of: International journal of electronic security and digital forensics. Volume 1:Number 4(2008)
• Page Start: 323
• Page End: 335
• Publication Date: 2008-12-01
• Subjects: human-computer interaction -- HCI -- motion segmentation -- support vector machines -- SVM -- visual speech recognition -- Zernike Moments -- voiceless commands -- mouth images -- secure recognition -- voice recognition -- vision -- security -- soundless comminucation; Computer crimes -- Periodicals; Computer crimes -- Investigation -- Periodicals; Computer security -- Periodicals; Electronic commerce -- Law and legislation -- Periodicals; Information warfare -- Periodicals; 005.805
• Languages: English
• ISSNs: 1751-911X

Abstract

This article presents a secure method for identification of voice-less commands using mouth images, without evaluating sound signals. The main limitation in voice recognition technologies for internet applications is that the commands will be audible to other people in the vicinity. The proposed technique identifies the unspoken utterances using support vector machines. The proposed system is based on temporal integration of the video data to generate spatiotemporal templates (STT). Sixty-four Zernike Moments are extracted from each STT. The experimental results demonstrate that the proposed system yields promising in recognising English phonemes. The proposed technique is demonstrated to be invariant to global variations of illumination level. Such a system could be invaluable when it is important to communicate without making a sound, such as giving passwords and internet applications on mobile devices.