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In this paper, we propose a novel biometric hashing method. We employ a password-generated random projection matrix applied to the face images directly instead of applying to the features extracted from face images and improve the methods in the literature. We aim to preserve privacy while achieving desirable accuracy in a biometric verification system. We do the verification in the hash domain and...
In this paper, we present a Turkish speech recognition system we have developed. We will be giving information about the building of our system and tests we conducted on it. SUVoice voice database, along with METU 1.0, was used in the training of our acoustic models. We performed limited vocabulary and large vocabulary recognition tests. We have shown the performance of modernhidden Markov model based...
A facial feature extraction method is proposed in this work, which uses location and texture information given a face image. Location and texture information can automatically be learnt by the system, from a training data. Best facial feature locations are found by maximizing the joint distribution of location and texture information of facial features. Performance of the method was found promising...
It is well known that human perception of speech relies both on audio and visual information. However, the physiology of information fusion process in humans is still indefinite which attracts scientists' attention to information fusion process for audio-visual speech recognition. In this work, a novel tandem hybrid approach is introduced for an efficient audio-visual speech recognition system and...
Local appearance-based methods have been proposed recently for face recognition. We analyze the effects of different dimension reduction and normalization methods on local appearance-based face recognition in this paper. Each image is divided into equal sized blocks and six different dimension reduction methods are implemented for each block separately to create local visual feature vectors. On these...
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