Paper Title: CLASSIFICATION OF OBJECTS USING CNN

Author's name:Mrs.A.Vidhya, K.Hema Jothika, M.Deepika, M.Gospel Marsha

Humans can easily detect and identify the object. The visionary of human is very fast and accurate and can perform multiple and more complex tasks like identification of object and detection. Situation like where we have to find from so many things and trying to find that key will take long time and we have to face some difficulties. Object classification is very important for applications in automatic visual surveillance system. In this paper we propose a new model for detection and classification of objects by taking the features to classify the detected objects using Convolutional Neural Network (CNN). Convolutional Neural Networks are capable of handling large higher dimensional data with billions of parameters as like human brain. Simulation results obtained illustrate that the proposed classifier model produces more accurate results for feature extraction and CNN for classification.

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