Survey On Content Base Information Retrieval Technique with Hybrid Nature

Authors: Divyata Patil, Rasna Sharma

Published in: IJRRETAS, Volume 2, Issue 6, pp. 1-4 (01 Jun 2016)

Impact Factor: 2.3 (2016)

License: CC BY 4.0 CC BY 4.0 (Open Access)

Certificate: View Certificate

Abstract

Content-based information retrieval (CBIR) has been an active research area for the last two decades and much progress has been made in that time. However, there are still many challenges to be overcome and in this paper we highlight some of these together with some approaches that we have developed to address these problems. The content-based analysis of such dataset requires effective and efficient techniques for information extraction. In this paper describe the Biometric dataset for establishing the identity of an individual based on the physical, chemical or behavioral attributes of the person. On that biometric dataset we just apply information retrieval technique with hybrid nature. This technique is helpful in classifying the objects based on their extracted pattern. The presented paper introduces discussion about that technique. Keywords: CBIR, Biometric dataset, Feature extraction

Keywords
  • Survey On Content Base Information Retrieval Technique with Hybrid Nature
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How to Cite
APA: Patil, D., & Sharma, R. (2016). Survey On Content Base Information Retrieval Technique with Hybrid Nature. International Journal for Rapid Research in Engineering Technology & Applied Science, 2(6), 1–4. https://ijrretas.com/research-paper/survey-on-content-base-information-retrieval-technique-with-hybrid-nature
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