For decades Scientists and Engineers have been working to get computer understand the world same as humans. Image processing is basic key to bridge the gap between the computer vision and human vision. Computer vision is developed in late 1960s to get the computer understand the real world same as humans. In recent years with the development of deep learning and the rapid development of neural network technology image processing has been made easier. This paper basically describes mathematical approach and algorithm required for image recognition. This paper consists of different methods for image recognition. Several Machine Learning like Hybrid Feature Extraction Technique which consists of Input Image Acquisition, Preprocessing , Segmentation, Feature Extraction, Classification and Training and recognition and Convolutional Neural Network .
₹10000 (INR)
NON IEEE -2022