• SAI KAUSHIL GOUD KANDUNURI
• Sushma Thatikonda
• Rohit Botu
• Hari Shanmuksai

: Image Recognition is an assortment of algorithms and technologies that attempt to analyze images, understand the obscure representations of features underlying, to apply them to different tasks like classifying images into different categories. The human brain is competent in processing images that the eye glimpses in a time period as short as thirteen milliseconds, as found by neuroscientists from MIT. This rapid processing can be done approximately thirty times faster than the blink of an eye. For neural networks to recognize one or more concepts in an image, it is necessary to train them. Models can simulate the task of image identification through a variety of approaches. Face recognition is a technology competent for identifying and verifying a subject through an image, video or any audio-visual element of any face. Algorithms often collapse when forced to make predictions on data in cases where inadequate supervised information is available. Deep face recognition has made remarkable progress with the recent development of deep learning techniques and is widely used in many real-world applications. Given an image or video frame as input, an end-to-end deep face recognition system outputs the face feature for recognition, and with the help of a distance metric, the similarity between these features can be determined. The plan is to evaluate new categories based on learned feature.

Machine Learning, Deep Neural network, Recurrent Neural Network(RNN), Back propagation.

"Research on Image Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.f726-f732, April-2022, Available :http://www.jetir.org/papers/JETIR2204593.pdf

"Research on Image Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppf726-f732, April-2022, Available at : http://www.jetir.org/papers/JETIR2204593.pdf