disguised face recognition is a major challenge in the field of face recognition which has been taken less attention. therefore, in this paper a disguised face recognition algorithm based on local phase quantization (lpq) method and singular value decomposition (svd) is presented which deals with two main challenges. the first challenge is when an individual intentionally alters the appearance ...

Outlier Detection is a major issue in data mining. Outliers are the containments that divert from the other objects. Outlier detection is used to make the data knowledgeable, and easy to understand. There are many type of databases used now days, and many of them contains anomaly objects, detection or removal of these objects is known as outlier detection. In the proposed work outliers are dete...

This paper is about human face recognition in image files. Face recognition involves matching a given image with the database of images and identifying the image that it resembles the most. Here, face recognition is done using: (a) Eigen faces and (b) Applying Principal Component Analysis (PCA) on image. The aim is to successfully demonstrate the human face recognition using Principal component...

Content Based Image Retrieval (CBIR) system using Contourlet Transform (CT) based features with high retrieval rate and less computational complexity is proposed in this paper. Unique properties of CT like directionality and anisotropy made it a powerful tool for feature extraction of images in the database. Improved results in terms of computational complexity and retrieval efficiency are obse...

This paper describes the comparative study of performance between the existing distance metrics like Manhattan, Euclidean, Vector Cosine Angle and Modified Euclidean distance for finding the similarity of complexion by calculating the distance between the skin colors of two color facial images. The existing methodologies have been tested on 110 male and 40 female facial images taken from FRAV2D...

This paper proposes performance evaluation of different distance measures used in color iris authentication. The color iris segmentation is carried out using histogram and circular Hough transform. The color iris features are extracted using histogram method. Different distance measures are used for iris authentication. The experimental evaluation shows that Euclidean and Manhattan distance are...

Sentiment analysis is a data processing to recognize topics that people talk about and their sentiments toward the topics, one of which in this study large-scale social restrictions (PSBB). This aims classify negative positive by applying K-Nearest Neighbor algorithm see accuracy value 3 types distance calculation are cosine similarity, euclidean, manhattan for Indonesian language tweets (PSBB)...

The claim that Ward's linkage algorithm in hierarchical clustering is limited to use with Euclidean distances is investigated. In this paper, Ward's clustering algorithm is generalised to use with l1 norm or Manhattan distances. We argue that the generalisation of Ward's linkage method to incorporate Manhattan distances is theoretically sound and provide an example of where this method outperfo...