activity
20162019
most citedSegmentation and Classification of Skin Lesions for Disease Diagnosis

231 citations · 307 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CV2019★ 8 cited

Online Signature Verification Based on Writer Specific Feature Selection and Fuzzy Similarity Measure

Chandra Sekhar, Prerana Mukherjee, D. S. Guru +1

Online Signature Verification (OSV) is a widely used biometric attribute for user behavioral characteristic verification in digital forensics. In this manuscript, owing to large in…

cs.CV2019★ 5 cited

OSVNet: Convolutional Siamese Network for Writer Independent Online Signature Verification

Chandra Sekhar, Prerana Mukherjee, Devanur S Guru +1

Online signature verification (OSV) is one of the most challenging tasks in writer identification and digital forensics. Owing to the large intra-individual variability, there is a…

cs.CV2017★ 6 cited

Color and Gradient Features for Text Segmentation from Video Frames

P. Shivakumara, D. S. Guru, H. T. Basavaraju

Text segmentation in a video is drawing attention of researchers in the field of image processing, pattern recognition and document image analysis because it helps in annotating an…

cs.LG2017★ 8 cited

Semi-supervised Text Categorization Using Recursive K-means Clustering

Harsha S. Gowda, Mahamad Suhil, D. S. Guru +1

In this paper, we present a semi-supervised learning algorithm for classification of text documents. A method of labeling unlabeled text documents is presented. The presented metho…

cs.IR2017★ 3 cited

Cluster Based Symbolic Representation for Skewed Text Categorization

Lavanya Narayana Raju, Mahamad Suhil, D S Guru +1

In this work, a problem associated with imbalanced text corpora is addressed. A method of converting an imbalanced text corpus into a balanced one is presented. The presented metho…

cs.CV2016★ 7 cited

Symbolic Representation and Classification of Logos

D. S. Guru, N. Vinay Kumar

In this paper, a model for classification of logos based on symbolic representation of features is presented. The proposed model makes use of global features of logo images such as…

cs.CV2016

User Dependent Features in Online Signature Verification

D. S. Guru, K. S. Manjunatha, S. Manjunath

In this paper, we propose a novel approach for verification of on-line signatures based on user dependent feature selection and symbolic representation. Unlike other signature veri…

cs.IR2016

Term-Class-Max-Support (TCMS): A Simple Text Document Categorization Approach Using Term-Class Relevance Measure

D S Guru, Mahamad Suhil

In this paper, a simple text categorization method using term-class relevance measures is proposed. Initially, text documents are processed to extract significant terms present in…

cs.CV2016★ 231 cited

Segmentation and Classification of Skin Lesions for Disease Diagnosis

Sumithra R, Mahamad Suhil, D. S. Guru

In this paper, a novel approach for automatic segmentation and classification of skin lesions is proposed. Initially, skin images are filtered to remove unwanted hairs and noise an…

cs.CV2016★ 8 cited

Delaunay Triangulation on Skeleton of Flowers for Classification

Y H Sharath Kumar, N Vinay Kumar, D S Guru

In this work, we propose a Triangle based approach to classify flower images. Initially, flowers are segmented using whorl based region merging segmentation. Skeleton of a flower i…

cs.CV2016★ 21 cited

Features Fusion for Classification of Logos

N. Vinay Kumar, Pratheek, V. Vijaya Kantha +2

In this paper, a logo classification system based on the appearance of logo images is proposed. The proposed classification system makes use of global characteristics of logo image…

cs.CV2016★ 10 cited

A Novel Approach for Shot Boundary Detection in Videos

D. S. Guru, Mahamad Suhil, P. Lolika

This paper presents a novel approach for video shot boundary detection. The proposed approach is based on split and merge concept. A fisher linear discriminant criterion is used to…