The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, multi-scale bandlet and local binary pattern (LBP) based method for gender recognition from faces is proposed. Bandlet is one of the multi-resolution techniques that can adapt the orientation of the edges of the face images, and thereby can better capture the texture of a face image. After extracting bandlet coefficients from face images at different scales, LBP is applied to create...
In this paper, we propose a passive copy move image forgery detection method using a steerable pyramid transform (SPT) and Local Binary Pattern (LBP). SPT is applied on a grayscale version or one of the YCbCr channels of an image. LBP is applied to describe the texture in each SPT subband. Then the support vector machine (SVM) uses the LBP feature extracted from SPT sub-bands in classifying images...
In this paper, a multi-resolution Weber law descriptors (WLD) based image forgery detection method is introduced. Due to the maturing of digital image processing techniques, there are many tools, which can edit an image easily without leaving obvious traces to the human eyes. So the authentication of digital images is an important issue in our life. The proposed multi-resolution WLD extracts the features...
The idea of category specific face recognition is first to categorize facial images into categories based on visual cues like gender and race and then to perform face recognition using features specific to a category. One main problem in this approach is to find category specific features. We addressed category specific face recognition based on gender and explored which feature descriptor is more...
Due to the maturing of digital image processing techniques, there are many tools, which can edit an image easily without leaving obvious traces to the human eyes. So the authentication of digital images is an important issue in our life. In this paper, multi-resolution Weber law descriptors (WLD) based method that detects copy-move image forgery is introduced. The proposed multi-resolution WLD extracts...
In this modern world Digital watermarking is of prime importance. This has increased the demand for copyright protection. Digital watermarking is a solution to the problem of copyright protection and authentication of multimedia data while working in a networked environment. In this paper a non-blind watermarking has been proposed that embed a randomly generated binary numbers as watermark. Human...
This paper proposes a method for race recognition from face images using local descriptors. The proposed method uses two types of local descriptors: local binary pattern (LBP) and Weber local descriptors (WLD). First, LBP and WLD histograms are obtained separately from blocks of normalized face image. Kruskal-Wallis feature selection technique is applied to the histograms to select the significant...
This paper proposes a blind method of copy move image forgery detection using dyadic wavelet transform (DyWT) and discrete cosine transform (DCT). An input image is decomposed using DyWT to approximation (LL) subbands and detail (HH) subbands. DCT is then applied to overlapping blocks in LL and HH subbands, and Euclidean distances between the blocks are calculated using DCT coefficients. Decision...
Welcome to the 6th International Conference on Emerging Technologies (ICET 2010). The conference is being organized and held at the National University of Computer and Emerging Sciences, Islamabad, Pakistan, in collaboration with the institute of Electrical and Electronics Engineers (IEEE), Islamabad Section.
Advances in communication technologies have made it easier to distribute and communicate information effectively. The world has become a global village with the advent of the Internet. Besides getting the benefits of information technology, the world faces threats of violations of copyright, digital counterfeiting, privacy and plagiarism. These issues have been addressed for image, audio and video...
This paper addresses one of the primary problems of visual information processing known as image restoration. Image restoration is a challenging task because of its ill-posed inverse nature. A modified Hopfield neural network with fuzzy adaptive regularization is proposed that shows potential to minimize constraint mean square error in order to guarantee the optimized results. Adaptive regularization...
In recent times, the applications of image processing have grown immensely. Usually due to limited depth of field of optical lenses especially with greater focal length, it becomes impossible to obtain an image where all the objects are in focus. Image fusion deals with creating an image in which all the objects are in focus. Thus it plays an important role to perform other tasks of image processing...
This paper presents a new method for adaptive watermark strength optimization in Discrete Cosine Transform (DCT) domain. Watermarking is a method to embed secret information in the host medium. Optimal strength selection for watermark is the most critical aspect in the whole process and it had attracted many researchers in the recent past. In the proposed method watermark strength is intelligently...
In protein fold recognition problem an effort is made to assign a fold to given proteins, this is of practical importance and has diverse application in the field of bioinformatics such as the discovery of new drugs, the individual implication of amino acid in a protein and bringing improvement in a specific protein function. In this paper, we have studied various machine learning techniques for protein...
Authentication and copyright protection of digital contents over the internet is an important issue. Digital watermarking provides a complete authentication and copyright protection solution for this problem. Besides, image, audio, and video; text is the most dominant medium travelling over the internet and it requires complete protection. Text watermarking techniques have been developed in past to...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.