Srinivasa Perumal Ramalingam | VIT University (original) (raw)

Uploads

Papers by Srinivasa Perumal Ramalingam

This paper presents a hybrid framework for face recognition based on the component features that ... more This paper presents a hybrid framework for face recognition based on the component features that are extracted by the salient points from the facial components of the face. Face recognition is still challenging under different pose, illumination conditions etc. The Proposed method detects the face from the original image. The components (eyes, nose and mouth) are extracted from the detected face through Viola-Jones algorithm. Extract the component features using Speeded up Robust Features (SURF). Extracted features are concatenated into a single feature vector to represent the face and compute the similarity between the query face and feature vectors stored in the database. The proposed hybrid method is implemented on FERET and ORL datasets and it improves the recognition rate and decreases the system running time.

Blockchain technology has the potential to revolutionize the insurance industry by bringing unpre... more Blockchain technology has the potential to revolutionize the insurance industry by bringing unprecedented levels of transparency, security and autonomous continuity. By leveraging this technology, insurance companies can streamline their processes, reduce costs, and provide better services to their customers. The proposed framework represents a significant step forward in the industry's evolution, with the potential to create a more efficient and effective insurance ecosystem for all stakeholders involved. This framework offers a new and innovative approach to addresses many of the challenges associated with traditional processes in the insurance applications. By utilizing Blockchain and Internet of Things (IoT) technologies, the framework aims to provide greater transparency, security, efficiency and real-time data decision ultimately leading to an improved customer experience. The accomplished work serves as a foundation for further research and development in the field of blockchain-based insurance applications, with the goal of designing a lightweight, platform-agnostic, auditable, real-time and provable solution.

Iris segmentation is an important phase in iris recognition and identifies the accuracy of prepro... more Iris segmentation is an important phase in iris recognition and identifies the accuracy of preprocessing. This paper proposes improved peak detection algorithm to locate the pupil accurately. The modified peak detection algorithm determines the optimal peak w h i c h helps for pupil localization. Thresholding is done based on the peak determined. Finally canny e d ge detector is applied on the binary threshold image to separate the pupil from the image. The proposed method was tested on CASIA and UBIRIS datasets and the results show that the proposed method segments the pupil from the given iris image. Subjective and objective evaluation proves the efficacy of the proposed me t h o d .

Face recognition is one of the Biometric characteristics for person identification. In this paper... more Face recognition is one of the Biometric characteristics for person identification. In this paper, Face recognition is done using two feature extraction techniques PCA (Principal Component Analysis) and MPCA (Modular Principal Component Analysis). PCA is a linear projection method in which dimensionality reduction is applied to the original image space. MPCA is an improved version of PCA in which each image (Face image) is divided into number of sub-block image and then PCA is applied for each sub-block image. The experimental result shows the accuracy of PCA and MPCA for different database images.

— Migration is challenging in real world environment, because now-a-days nature of market is unpr... more — Migration is challenging in real world environment, because now-a-days nature of market is unpredictable. Besides this, software companies are moving quickly to cut costs and streamline their application development process. Migration is not only the code conversion but it also involves analysis, estimates the code and followed by testing. The application migration involved in both the business and technology drivers it will provide different direction for migration from existing to the target. Microsoft Company recently stopped to support for VB6, many software companies are primarily working with VB environment, and the difficulty of achieving their application are overstated. This paper presents the issues that the programmer / user face, to migrate his / her code from VB6 to VB.NET. The processes should ensure a smooth, cost effective, and efficient migration of VB 6.0 Applications to VB.NET. This paper discusses the issues faced by the programmer during code migration from VB 6.0 to VB.NET and ways to overcome them.

Data mining is used in several medical applications like tumor classification, prediction of medi... more Data mining is used in several medical applications like tumor classification, prediction of medical test effectiveness, genomics, proteomics and DNA sequence analysis. Cancer detection is one of the hot research topics in the bioinformatics age. Data mining techniques, such as pattern association, classification and clustering is applied over gene expression data for detection of cancer. Accuracy is the vital thing to be considered during estimation over colon data. Association works on the basis of correlation, classification helps in categorizing and locate accurately, and clustering is the unsupervised learning ability that is able to discover hidden patterns of dataset. The objective of our work is to make comparative study about various clustering algorithms like simple K-means, global K-means, K-means++ and C5 over cancer dataset is made. Clustering algorithms are compared based on accuracy.

Color image segmentation is still a challenging problem. Literature reveals many supervised algor... more Color image segmentation is still a challenging problem. Literature reveals many supervised algorithms wherein the primary input is the number of segments to which the image is to be segmented. Currently researchers are focusing on un-supervised segmentation algorithms. The main advantage of the proposed method is that no a priori information is required to segment the given color image and hence considered as an unsupervised approach. The proposed method is found to be reliable and works satisfactorily on different kinds of color images. Subjective comparison and objective evaluation shows the efficacy of the proposed method over other existing methods.

—Agile Software development methodology is most emerging in software development, there has been ... more —Agile Software development methodology is most emerging in software development, there has been a significant contribution from many researchers towards estimating the size, cost, schedule, effort and duration. However, the approaches reported in the literature lack in considering the evolution of biological systems for better optimization in agile. Here Agile Estimation Plan method determines the story size but the velocity is not properly defined and Harmony Search algorithm is adopted and modified in improvisation process towards agile to calculate the better velocity for each end of the iteration plan. This method help to improve the optimization while compare with normal agile process. The experimental results show how the harmony agile process is better than the normal agile process and it shows the efficiency of the method.

One of the powerful platform to assimilate, dissimilate and retrieve information as well as extra... more One of the powerful platform to assimilate, dissimilate and retrieve information as well as extract useful information is World Wide Web. This Web data is massive, dynamic in nature and is complex in nature. Extraction of potential Value from web is carried out through Data mining, but traditional data mining has a bottleneck in storage and computing when the data is too complex. Due to increasing number of providers a new technology-Cloud Computing is used which offers various web services which help to overcome this bottleneck. Meanwhile user's behavior and demands are changing sharply, in order to maintain a balance and maximize the revenue there is a desperate need for new principle. Now a day's most of the service providers are using a static method which neglects if there is a dynamic in the user behaviors. To solve the above problem we use cloud computing technology wherein we design a massive web log data which can be analyzed on a platform bases on cloud-Hadoop Framework. Along with it in order to improve the efficiency of the existing mining methods a parallel algorithm for web log mining is needed. The proposed algorithm can be used to parallel systems wherein the data is usually stored on cloud and also helps to identify the users using methods of cloud computing and Map Reduce techniques

Local Directional Pattern (LDP) is a descriptor used for face recognition. It assigns a code for ... more Local Directional Pattern (LDP) is a descriptor used for face recognition. It assigns a code for each pixel in the image, and the resultant LDP-encoded image is divided into regions for which each a histogram is generated. The histogram bins of all the regions are concatenated to form the final descriptor. In contrast to LDP, a dimensionality reduced local directional pattern (DR-LDP) is proposed in this paper. The proposed descriptor computes single code for each block by X-ORing the LDP codes obtained in a single block. During the process, restructuring of the patterns is done by slightly modifying the LDP coding pattern constraints. The significance of DR-LDP is the compact code generation for efficient face recognition. The experiments were carried out on standard databases like FERET, extended YALE-B database and ORL. The resultant DR-LDP descriptor provided better recognition rates, outperforming the existing local descriptor-based methods and proving its efficacy. The compact code can be further extended to provide biometric security.