Browsing by Subject "Biometric identification"
Now showing items 1-7 of 7
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Analysis of voice biometric attacks: detection of synthetic vs natural speech
(Dhirubhai Ambani Institute of Information and Communication Technology, 2014)The improvement in text-to-speech (TTS) synthesis also poses the problem of biometric attack on speaker verification system. In this context, it is required to analyse the performance of these system for false acceptance ... -
Eye localization in video: a hybrid approach
(Dhirubhai Ambani Institute of Information and Communication Technology, 2010)Location of eyes is an important process for operations such as orientation correction, which are necessary pre-processes for face recognition. As eyes are one of the main features of the human face, the success of facial ... -
Fingerprint image preprocessing for robust recognition
(Dhirubhai Ambani Institute of Information and Communication Technology, 2012)Fingerprint is the oldest and most widely used form of biometric identification. Since they are mainly used in forensic science, accuracy in the fingerprint identification is highly important. This accuracy is dependent ... -
Human action recognition in video
(Dhirubhai Ambani Institute of Information and Communication Technology, 2011)Action recognition is a central problem in computer vision which is also known as action recognition or object detection. Action is any meaningful movement of the human and it is used to convey information or to interact ... -
Locality preserving projection: a study and applications
(Dhirubhai Ambani Institute of Information and Communication Technology, 2012)Locality Preserving Projection (LPP) is a recently proposed approach for dimensionality reduction that preserves the neighbourhood information and obtains a subspace that best detects the essential data manifold structure. ... -
Person identification using face and speech
(Dhirubhai Ambani Institute of Information and Communication Technology, 2012)In this thesis, we present a multimodal biometric system using face and speech features. Multimodal biometrics system uses two or more intrinsic physical or behaviour traits to provide better recognition rate than unimodal ... -
Person recognition from their hum
(Dhirubhai Ambani Institute of Information and Communication Technology, 2011)In this thesis, design of person recognition system based on person's hum is presented. As hum is nasalized sound and LP (Linear Predication) model does not characterize nasal sounds sufficiently, our approach in this work ...