Search Results for author:
Found 13 papers, 0 papers with code
Online Signature Verification Based on Writer Specific Feature Selection and Fuzzy Similarity Measure
Online Signature Verification (OSV) is a widely used biometric attribute for user behavioral characteristic verification in digital forensics.
Color and Gradient Features for Text Segmentation from Video Frames
The method is tested on variety of video frames to evaluate the performance of the method in terms of recall, precision and f-measure.
Cluster Based Symbolic Representation for Skewed Text Categorization
A method of converting an imbalanced text corpus into a balanced one is presented.
Semi-supervised Text Categorization Using Recursive K-means Clustering
A method of labeling unlabeled text documents is presented.
Class Specific Feature Selection for Interval Valued Data Through Interval K-Means Clustering
In this paper, a novel feature selection approach for supervised interval valued features is proposed.
Symbolic Representation and Classification of Logos
The intra-cluster variations present in each cluster corresponding to each class are then preserved using symbolic interval data.
User Dependent Features in Online Signature Verification
In this paper, we propose a novel approach for verification of on-line signatures based on user dependent feature selection and symbolic representation.
Term-Class-Max-Support (TCMS): A Simple Text Document Categorization Approach Using Term-Class Relevance Measure
During testing, the terms present in the test document are extracted and the term-class relevance of each term is obtained from the stored knowledgebase.
Segmentation and Classification of Skin Lesions for Disease Diagnosis
The results are very promising with 46. 71% and 34% of F-measure using SVM and k-NN classifier respectively and with 61% of F-measure for fusion of SVM and k-NN.
Features Fusion for Classification of Logos
The proposed classification system makes use of global characteristics of logo images for classification.
Delaunay Triangulation on Skeleton of Flowers for Classification
Skeleton of a flower is obtained from the segmented flower using a skeleton pruning method.
A Novel Term_Class Relevance Measure for Text Categorization
The proposed measure estimates the degree of relevance of a given term, in placing an unlabeled document to be a member of a known class, as a product of Class_Term weight and Class_Term density; where the Class_Term weight is the ratio of the number of documents of the class containing the term to the total number of documents containing the term and the Class_Term density is the relative density of occurrence of the term in the class to the total occurrence of the term in the entire population.
A Novel Approach for Shot Boundary Detection in Videos
Further to reduce the complexity of the process we propose to employ spectral clustering to group related regions together to a single there by achieving reduction in dimension.
