Fake Data Mining over Distributed Database With Face Annotation

Authors

  • Wankhede PS M.Tech, Department of Computer Science & Engineering, Jhulelal Institute of Technology, Nagpur, India
  • Choudhari S M.Tech, Department of Computer Science & Engineering, Jhulelal Institute of Technology, Nagpur, India
  • Kumbhare A M.Tech, Department of Computer Science & Engineering, Jhulelal Institute of Technology, Nagpur, India

Keywords:

Annotation, Content Based

Abstract

A face annotation has many applications the main part of based face annotation is to management of most same facial images and their weak data labels. This problem different method are adopted. The efficiency of annotating systems are improved by using these methods. This paper proposes a review on various techniques used for detection and analysis of each technique. Combine techniques are used in retrieving facial images based on query. So it is effective to label the images with their exact names. The detected face recognition techniques can annotate the faces with exact data labels which will help to improve the detection more efficiently. For a set of semantically similar images Annotations from them. Then content-based search is performed on this set to retrieve visually similar images, annotations are mined from the data descriptions. The method is to find the face data association in images with data label. Specifically, the task of face-name association should obey the constraint face can be a data appearing in its associated a name can be given to at most one face and a face can be assigned to one name.

References

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Published

2025-11-25

How to Cite

[1]
P. S. Wankhede, S. Choudhari, and A. Kumbhare, “Fake Data Mining over Distributed Database With Face Annotation”, Int. J. Comp. Sci. Eng., vol. 7, no. 12, pp. 81–84, Nov. 2025.

Issue

Vol. 7 No. 12 (2019): IJCSE Special Issue May Edition

Section

Research Article

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