• Shreya Kukdeja
• Prof. A.G. Phakatkar

Due to exponential growth in the technology of digital cameras the availability of the cameras are easily in many devices like mobile phones, Tablets and even on smart TVs. This makes the device users to capture the every moment of their life through the camera and store them implicitly or explicitly in the cloud or any storage respiratory. This leads to the huge accumulation of the images in the storage house so this creates havoc in the retrieval process of these data on the basis of the user query. So, some traditional systems are existed which are retrieving these images based on the content, semantic, text and image that nowhere near the logical behavior of the system image that nowhere near the logical behavior of the system. To tackle this many models are proposed where the accuracy is always been a big question while retrieving. So, this research paper analyzes most of the well-known past works on image retrieving methodologies to understand the techniques in proper way.

CNN, Morphology, Simialrity Measure

"An Empirical Study on Image Retrieval System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.517-519, April-2019, Available :http://www.jetir.org/papers/JETIR1904790.pdf

"An Empirical Study on Image Retrieval System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp517-519, April-2019, Available at : http://www.jetir.org/papers/JETIR1904790.pdf