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RISS 인기검색어
- 검색키워드
- 저자 : K. M. Ibrahim Khalilullah (검색결과 2 건)
- 무료
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- 유료
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DWT-DCT Based Individuals Identification Using Robust Gait Feature Images
K. M. Ibrahim Khalilullah,Delowar Hossain,Md. Ekramul Hamid 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.4
Individual identification at a distance using gait features has newly gained growing interest from biometrics researchers. Most of the researchers have been shown that different covariate factors can affect different parts of the human body. In this paper, we propose a new approach that minimizes these difficulties, especially for carrying objects by combining static, dynamic, and part-based features. The Gait Features of the walking sequences are extracted by selecting only four sub bands of the Discrete Wavelet Transform (DWT) of the individual images. Moreover, Discrete Fourier Transform (DFT) and Discrete Cosine Transform (DCT) are implemented to extract lowest and middle frequency components that are used to create robust gait feature images (RGFIs). Then we select effective parts of the body from the Robust Gait Feature Images. After that, these parts of the body are trained using Principal Component Analysis (PCA) and Multiple Discriminant Analysis (MDA) to identify individuals. Experimental result shows promising performance in comparison with other methods.
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BEMD-HT Based RGB Color Image Robust Information Hiding Algorithm Using Block Averaging Technique
Most. Shelina Aktar,K.M. Ibrahim Khalilullah,Shugufta Abrahim,Md. Ekramul Hamid 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.12
The paper proposes an information hiding technique for steganography and digital watermarking using Bi-dimensional Empirical Mode Decomposition (BEMD) and Hilbert Transform (HT). We use RGB color image as a cover image. The cover image is divided into a number of blocks. Then each block of the cover image is putrefied into a number of Intrinsic Mode Functions (IMFs) using BEMD. We embed secret information with private key into a significant IMF. The embedded secret information, called watermark, is a matrix of 1 and -1. However, this watermark is generated by mapping pseudo-random numbers. Therefore, any unauthorized person who does not possess the private key cannot extract the watermark. The significant IMF is a highest energetic IMF which is selected according to the energy distribution of the putrefied IMFs. Thus the selected IMF is less sensitive to common image and signal processing manipulation. In watermark extraction process, we transform the watermarked object into frequency domain using HT bypassing the use of BEMD due to its empirical characteristics. Thereafter, we extract the watermark bit using block averaging technique. The experimental results of this algorithm demonstrate that the proposed method has better imperceptibility and it is more robust against several image processing and geometric manipulations.
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