This paper is focused on proposal of image steganographic method that is able to embedding of encoded secret message using Quick Response Code (QR) code into image data. Discrete Wavelet Transformation (DWT) domain is used for the embedding of QR code, while embedding process is additionally protected by Advanced Encryption Standard (AES) cipher algorithm. In addition, typical characteristics of QR code was broken using the encryption, therefore it makes the method more secure. The aim of this paper is design of image steganographic method with high secure level and high non-perceptibility level. The relation between security and capacity of the method was improved by special compression of QR code before the embedding process. Efficiency of the proposed method was measured by Peak Signal-to-Noise Ratio (PSNR) and achieved results were compared with other steganographic tools.

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The paper presents biometric security system based on fusion of voice print and hand geometry recognition technologies. Speaker recognition works as text independent and is designed to verify a person using a short utterance. GMM method is used for speaker modeling and GMM-UBM classifier is used for process of matching. Hand geometry technology uses 21 extracted features from image of user's hand and Euclidian distance for recognition. Information fusion in the multimodal system is performed at the matching score level, where scores obtained from matchers are combined using different normalization techniques and fusion rules. Multimodal system after fusion achieved 82.78% reduction in equal error rate over the better of the two independent systems.

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