Abstract: This paper focuses on the preprocessing technique for CAP-LR (Computer aided plant classification through leaf recognition). Pre processing is the basic step to reconstruct the image with some useful feature. This technique is essential for the enhancement of leaf images which increases the efficiency of the subsequent tasks of the leaf recognition system. In this paper, an hybrid approach is proposed which is a combination of contrast stretching and adaptive thresholding that simultaneously adjusts the intensity level of leaf images using boundaries is developed. The validation of proposed system is carried out based on the defined parameter matrices. The experimental results shows that the proposed method proves efficient when compared to other traditional methods.
Keywords : image enhancement; Histogram equalization; Contrast stretching; intensity adjustment; Adaptive Thresholding; Median filter; wavelet filter.
R. N. Verma, D.S.Chauhan
Abstract: Fingerprint verification of online fingerprint images has become a very actively studied field in biometric systems. This paper investigates the major challenges in fingerprint recognition if the images are captured at varying pressure. Extracting minutiae from fingerprint images is one of the most important steps in automatic fingerprint verification and classification. Minutiae are local discontinuities in the fingerprint images, mainly ridge termination and bifurcations. In this paper we proposed an algorithm m-margin to fill the broken curves on a fingerprint. Our proposed algorithm eliminates false minutiae that connect broken curves in fingerprint. The method is initialized with the captured image using local histogram equalization, FFT, image binarization, thinning, skeleton refinement, end-points, filtering and matching. The images achieved from these steps are passed through proposed mmargin algorithm. This method show some improvement in the minutiae extraction process in terms of either efficiency and/or time required. The quality of the fingerprint images greatly affects the performance of the minutiae extraction.
Keywords : biometrics; minutiae; ridge; valley; FRR; FAR; skeletonization; m-margin.
Adnan M. Al-Khatib
Abstract: Cooperative learning refers to an approach where one or more team of learners work together towards reaching a better knowledge or understanding of a specified task. The purpose of this paper is to use this approach to describe a proposal for designing and building a cooperative machine learning system (Multi-Learning system) that contains two or more machine learners that cooperate together. The objective of the proposal in this paper is to improve the effectiveness of the machine learning systems.
Keywords : Cooperative Learning; Machine Learning; inductive learning; Multi-Learning system; Knowledge base; Artificial Intelligence.
Sonal Chawla, Ritika Bansal
Abstract: Dynamic web environment in the form of E-learning systems are increasingly being adopted by educational organizations. This E-learning system is taking important place in formal and less formal educational setting. Such an environment enhances the conventional system of education by utilizing the digital resources comprising of learning objects as delivery mode for imparting instructions. This research paper, thus, focuses on the creation and evaluation of a Dynamic Web Environment and has fourfold objective. Firstly, it focuses on dynamic web environment, learning objects and their relation in development of dynamic web environment. The paper then pre-tests the perception of students for such an environment Secondly, it discusses the creation of dynamic web environment with special reference to the research study conducted by creating a demonstrative dynamic web environment called E-campus. The tools and technologies used in the development of this dynamic web environment are also highlighted. Thirdly, the paper post-tests the created E-Campus environment. And finally, the paper ends with analysis and conclusions drawn for these research studies.
Keywords : Interactive learning environments; Improving classroom teaching; Lifelong learning; Cooperative/Collaborative learning; Teaching/learning strategies.
Abstract: The advent of wireless LAN is a onelcome sign in terms of ease of deployment and reconfiguration. Hoonever, security is an alarming concern, as everything being transmitted is available in the air. The presernt paper deals with Study of effect of rate on performance of cross layer based intrusionn detection for WLAN reflects the significance of cross layer technique in detecting intruder on WLAN. In cross layer based intrusions detection the decision is based on the combine oneight value of two or more layer. So the decision is not based on single layer, it will reduce false positive rate. Two different layers, physical and MAChave been used in the present study and the results have been compared with existing techniques.
Keywords- Receiver Signal Strength (RSS); Time Taken for RTS-CTS Handshake (TT); Radio Frequency (RF).