proved to be noise-resilient, scale-invariant and rotation invariant up to +/- 10 degree. In this report, the concepts of Speeded Up Robust Features algorithm, hierarchical K-means clustering, Term Frequency- Inverse Document Frequency weights and Random Sample Consensus are reviewed first and then the algorithm implemented in this project is discussed. In the experimental results, the accuracy of the algorithm is shown for images with noisy background, different scale size and inclined images. Last
Color is widely remarked as one of the most demonstrative visual features, and as such it has been largely studied in the context of CBIR, thus number one to a rich variety of descriptors. As traditional color features used in CBIR, there are color histogram, color correlogram, and dominant color descriptor (DCD) [1,3,4]. A simple color similarity between two images can be measured by comparing their color histograms. The color histogram, which is a common color descriptor, indicates the occurrence
language while ISL is the language which uses both hands to make signs. So it is difficult to exactly classify and recognizes those types of signs. The work presented here focuses on recognizing Indian sign language where Fourier descriptor is used for feature extraction and classification is achieved using neural network. Keywords—Non verbal form of communication, preprocessing, Contour extraction, Fourier descriptor, Neural
SIXTH SENSE TECHNOLOGY [SENSING OBJECTS IN A SECURE PASSION] INTRODUCTION “SIXTH SENSE TECHNOLOGY” shows improvement. Of all the technologies emerging today, the enhanced technology is SIXTH SENSE”. Whenever we encounter a new object our senses try to sense and analyse that particular object and makes us interact with them. But to know the complete information about a particular object we should go through it in detail by surfing on net or asking the relevant person for information. Instead,
identification and authentication. Palm print recognition system is widespread bio-metric authentication systems. A palm print is the feature pattern on the basis of their edges. Each person has his own palm prints with the permanent uniqueness. The common problem for palm print recognition is finding the minutiae by its local features and edges. Rotation and location invariant of the different palm prints images is also a major problem for recognizing the actual palm print image. There is need to overcome
segmentation was tested with almost all combination of mass shapes and margins in CC and MLO views and the segmented abnormal region was verified with ground truth table images in which abnormality marked by radiologist in the DDSM database. Further feature extraction methods and classifier has to be developed for fully automated diagnosis CAD system. Further study has to be carried out to test the algorithm for the segmentation of micro calcifications.
techniques is used to represent images for searching, indexing and retrieval with either supervised or unsupervised learning models. The color feature extraction process consists of two parts: grid based representative of color selection [B.S.Manjunath, 2001] and discrete cosine transform with quantization. Color feature extraction is a very compact and resolution invariant representation of high speed image retrieval systems and it has been designed to efficiently represent the
2012; Watanabe et al., 2005; Yanagawa et al., 2007; Zhang et al., 2007) due to its distinct characteristics like ease of feature extraction, spoofing resistant, high accuracy and liveness detection etc. A typical vein pattern biometric system consists of five individual processing stages: Image Acquisition, ROI extraction, Image enhancement and Vein Pattern Segmentation, Feature Extraction and Matching, as shown in Figure 1. The acquisition of hand veins is generally done using infrared (IR)
Chapter - 01 Introduction INTRODUCTION 1.1 What is Governance .? Governance is the term which is described as the process by society steers itself. Which is used foo interaction between the public sector and civil sector .government take collective decision for public sector as well as civil. At Initial level the Governance emerged and was applied in the urban context to cope more efficiently with local problem solving. ICT is used in Overall governance process at all level from State to