Sony George, Jewel Susan Lalu, Anisha Anil, Sharon J Wilson, Sincy John, Students of Computer Sci... more Sony George, Jewel Susan Lalu, Anisha Anil, Sharon J Wilson, Sincy John, Students of Computer Science Department, Faculty of Computer Science Department Computer Science And Engineering,Peermade,Kuttikanam Mar Baselios Christian College Of Engineering And Technology,Idukki,Kerala,India _________________________________________________________________________________________________________________ Abstract : With the developing utilization of biometric confirmation frameworks in the current years, parody finger print recognition has turned out to be progressively essential. In this paper, we utilize convolutional neural systems (CNNs) for fingerprint liveness discovery. Our framework is assessed on the informational indexes utilized as a part of the liveness location rivalry of the years 2009, 2011, and 2013, which contains very nearly 50000 genuine and phony fingerprints pictures. We think about five distinct models: three CNNs pretrained on regular pictures and fine-tuned with the...
Recommendation system is used for filtering of information that provide users with information th... more Recommendation system is used for filtering of information that provide users with information that he/she is interested in. It also helps in addressing the information overload problem by retrieving information that is required by the user according to their preferences. Recommendation system also add value to the customer by increasing trust and customer loyalty. The rating or preference that the user give to an item, can be predicted using recommendation systems. It can be used in many applications such as movies, news, books, e-commerce etc. This paper focuses on different types of recommendation systems for various applications. Keywords— Collaborative filtering, context, hybrid, recommendation, typicality.
A crucial factor for the success of e-commerce system is accurate trust evaluation. Reputation ba... more A crucial factor for the success of e-commerce system is accurate trust evaluation. Reputation based trust models are widely used in e-commerce systems, where the ratings are used to calculate the trust score. These ratings, also referred as recommendations, referrals and feedback, is the most important factor in building the trust relationship. Ratings will guide the potential buyers to choose the most trustworthy seller. Different rating system may adopt different methods to calculate the reputation trust score, which in turn rank the sellers to guide the buyers. A comprehensive survey on different reputation system in e-commerce applications are presented in this paper.
International Journal For Science Technology And Engineering, 2016
Multi-target tracking has found applications in diverse disciplines, includes Air traffic control... more Multi-target tracking has found applications in diverse disciplines, includes Air traffic control, Intelligence surveillance and Reconnaissance (ISR), Space applications, Oceanography, Autonomous vehicles and robotics, remote sensing, computer vision and biomedical research. Most of the methods concentrating more on spatio-temporal cues. And some methods using online learned approaches to find the multiple targets trajectories with non-overlapping cameras.
The classification of satellite images are difficult because of human eyes can see the colour of ... more The classification of satellite images are difficult because of human eyes can see the colour of visible light mostly in three bands (RGB). The main shortcomings of existing system are leakage problem (when regions related to different structures in the image by connecting fake links leads to missing of certain objects), objects expected to disappear at a certain threshold remain present when objects were connected. And then if the small objects connected with large objects some attributes will be mixed together. The proposed work is a framework for providing better classification of satellite images by partial reconstruction along with morphological operations and finally using SVM (support vector machines) classifier. Keywords: Satellite images, partial reconstruction, morphological operations, SVM (support vector machines), RGB Cite this Article Shilpa Rajan, Sincy John. A Novel Approach for Morphological Attribute Profiles with Partial Reconstruction. Journal of Control & Instru...
A crucial factor for the success of e-commerce systems is accurate trust evaluation. Reputation t... more A crucial factor for the success of e-commerce systems is accurate trust evaluation. Reputation trust models are mostly used in the e-commerce systems, where the ratings are used to calculate this trust score. There is, however, no guarantee of the trustworthiness of a reputation. The “all good reputation” problem, however, is predominant in current reputation systems, because the trust score is very high for most of the sellers. So, it becomes very difficult for the users to identify the potential sellers for them to transact with. CommTrust is one such system used for trust evaluation by mining feedback comments, because the users feel free to express their opinions in the free text feedback comments. This helps to resolve the “all good reputation” problem and rank the sellers effectively. The objective of this paper is to resolve the problem of false reputation i.e. the problem of being manipulated by unfair ratings. For this, a true-reputation based algorithm is proposed based o...
International Journal of Recent Technology and Engineering (IJRTE), 2019
In the recent literature, 3D face reconstruction received wide interest and has become one of the... more In the recent literature, 3D face reconstruction received wide interest and has become one of the significant areas of research. 3D face reconstruction provides in depth details on geometrics, texture and color of the face, which are utilized in different applications. It supports a multitude of applications, ranging from face recognition and surveillance to medical imaging, gaming, animation, and virtual reality. This paper attempts to consolidate the research works that have happened in the history of 3D face reconstruction. Also, we try to classify the existing methods based on the input for the process. The databases used in the recent works are discussed and the performance evaluation of methods on different databases is analyzed. The challenges addressed in recent studies are mainly focused on the faster reconstruction of 3D Images, improved accuracy of reconstructed images, human pose identification, image reproduction with higher resolution. Researchers have also tried to ad...
Sony George, Jewel Susan Lalu, Anisha Anil, Sharon J Wilson, Sincy John, Students of Computer Sci... more Sony George, Jewel Susan Lalu, Anisha Anil, Sharon J Wilson, Sincy John, Students of Computer Science Department, Faculty of Computer Science Department Computer Science And Engineering,Peermade,Kuttikanam Mar Baselios Christian College Of Engineering And Technology,Idukki,Kerala,India _________________________________________________________________________________________________________________ Abstract : With the developing utilization of biometric confirmation frameworks in the current years, parody finger print recognition has turned out to be progressively essential. In this paper, we utilize convolutional neural systems (CNNs) for fingerprint liveness discovery. Our framework is assessed on the informational indexes utilized as a part of the liveness location rivalry of the years 2009, 2011, and 2013, which contains very nearly 50000 genuine and phony fingerprints pictures. We think about five distinct models: three CNNs pretrained on regular pictures and fine-tuned with the...
Recommendation system is used for filtering of information that provide users with information th... more Recommendation system is used for filtering of information that provide users with information that he/she is interested in. It also helps in addressing the information overload problem by retrieving information that is required by the user according to their preferences. Recommendation system also add value to the customer by increasing trust and customer loyalty. The rating or preference that the user give to an item, can be predicted using recommendation systems. It can be used in many applications such as movies, news, books, e-commerce etc. This paper focuses on different types of recommendation systems for various applications. Keywords— Collaborative filtering, context, hybrid, recommendation, typicality.
A crucial factor for the success of e-commerce system is accurate trust evaluation. Reputation ba... more A crucial factor for the success of e-commerce system is accurate trust evaluation. Reputation based trust models are widely used in e-commerce systems, where the ratings are used to calculate the trust score. These ratings, also referred as recommendations, referrals and feedback, is the most important factor in building the trust relationship. Ratings will guide the potential buyers to choose the most trustworthy seller. Different rating system may adopt different methods to calculate the reputation trust score, which in turn rank the sellers to guide the buyers. A comprehensive survey on different reputation system in e-commerce applications are presented in this paper.
International Journal For Science Technology And Engineering, 2016
Multi-target tracking has found applications in diverse disciplines, includes Air traffic control... more Multi-target tracking has found applications in diverse disciplines, includes Air traffic control, Intelligence surveillance and Reconnaissance (ISR), Space applications, Oceanography, Autonomous vehicles and robotics, remote sensing, computer vision and biomedical research. Most of the methods concentrating more on spatio-temporal cues. And some methods using online learned approaches to find the multiple targets trajectories with non-overlapping cameras.
The classification of satellite images are difficult because of human eyes can see the colour of ... more The classification of satellite images are difficult because of human eyes can see the colour of visible light mostly in three bands (RGB). The main shortcomings of existing system are leakage problem (when regions related to different structures in the image by connecting fake links leads to missing of certain objects), objects expected to disappear at a certain threshold remain present when objects were connected. And then if the small objects connected with large objects some attributes will be mixed together. The proposed work is a framework for providing better classification of satellite images by partial reconstruction along with morphological operations and finally using SVM (support vector machines) classifier. Keywords: Satellite images, partial reconstruction, morphological operations, SVM (support vector machines), RGB Cite this Article Shilpa Rajan, Sincy John. A Novel Approach for Morphological Attribute Profiles with Partial Reconstruction. Journal of Control & Instru...
A crucial factor for the success of e-commerce systems is accurate trust evaluation. Reputation t... more A crucial factor for the success of e-commerce systems is accurate trust evaluation. Reputation trust models are mostly used in the e-commerce systems, where the ratings are used to calculate this trust score. There is, however, no guarantee of the trustworthiness of a reputation. The “all good reputation” problem, however, is predominant in current reputation systems, because the trust score is very high for most of the sellers. So, it becomes very difficult for the users to identify the potential sellers for them to transact with. CommTrust is one such system used for trust evaluation by mining feedback comments, because the users feel free to express their opinions in the free text feedback comments. This helps to resolve the “all good reputation” problem and rank the sellers effectively. The objective of this paper is to resolve the problem of false reputation i.e. the problem of being manipulated by unfair ratings. For this, a true-reputation based algorithm is proposed based o...
International Journal of Recent Technology and Engineering (IJRTE), 2019
In the recent literature, 3D face reconstruction received wide interest and has become one of the... more In the recent literature, 3D face reconstruction received wide interest and has become one of the significant areas of research. 3D face reconstruction provides in depth details on geometrics, texture and color of the face, which are utilized in different applications. It supports a multitude of applications, ranging from face recognition and surveillance to medical imaging, gaming, animation, and virtual reality. This paper attempts to consolidate the research works that have happened in the history of 3D face reconstruction. Also, we try to classify the existing methods based on the input for the process. The databases used in the recent works are discussed and the performance evaluation of methods on different databases is analyzed. The challenges addressed in recent studies are mainly focused on the faster reconstruction of 3D Images, improved accuracy of reconstructed images, human pose identification, image reproduction with higher resolution. Researchers have also tried to ad...
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