Selected Publications.

Best Paper Award Collaborative filtering Image Processing Java Job Recommendation Naive Bayes Neural Network Python Signature Verification

Collaborative Job Prediction based on Naïve Bayes Classifier using Python Platform
Publisher: IEEE
Conference: International Conference on Computational Systems and Information Technology for Sustainable Solution
Abstract: The paper aims to implement recommendation system based on collaborative filtering technique for job portals.The system is designed to suggest the jobs to the user depending upon his profile and by calculating a similarity index using Euclidian distance of two skill sets and then ranking them according to their naïve Bayes algorithm. The recommendation system has been implemented in python.
Python Naive Bayes Job Recommendation Collaborative filtering
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Signature verification using Java-Python for small computational devices
Publisher: IEEE
Conference: Advance Computing Conference (IACC)
Abstract: This paper identifies an innovative design for signature verification which is able to extract features from an individual’s signatures and uses those feature sets to discriminate genuine signatures from forgeries. An innovative JAVA-PYTHON platform is used for the development. Detailed feature study, algorithm development and feature set verification is carried out during this experiment.
Python Java Neural Network Signature Verification Image Processing
View 2015

Design of Handwritten Signature Verification Using Java–Python Platform.
Publisher: Springer
Conference: Emerging Research in Computing, Information, Communication and Applications
Abstract: This paper presents a JAVA-PYTHON based platform for signature verification which is able to extract features from an individual’s signatures and discriminate genuine signatures from forgeries. Feature study, algorithm development, challenges with training neural network and its design solutions are presented in the paper. The proposed model uses global, statistical and local features of input dataset. Experimental results suggest that it is able to deliver 95% of accuracy.
Python Java Neural Network Signature Verification Image Processing Best Paper Award
View 2016

Handwritten Signature Verification using Soft Computational Model on Java Python Platform.
Publisher: Scopus
Conference: Information Science & Technology for Sustainability & Innovation(ICISTSI)
Abstract: This paper provides an innovative design for signature verification using JAVA-PYTHON platform which is able to extract features from an individual‟s signatures and discriminate genuine signatures from forgeries. Detailed feature study, algorithm development and feature set verification are presented in the paper.
Python Java Neural Network Signature Verification Image Processing
View 2015

Open Source Based Development Platform for Handwritten Signature Verification.
Publisher: McGraw-Hill
Conference: Conference on Communication and Computing
Abstract: Objective of this paper is to identify an innovative approach to signature verification which is able to extract features from an individual’s signatures and discriminate genuine signatures from forgeries. An Open Source based platform is identified and used for the development. Java – Python based Signature Verification platform is developed for the current research work. Detailed discussion on model selection, its description and advantages are presented.
Python Java Neural Network Signature Verification Image Processing
View 2015