Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks to understand and automate tasks that the human visual system can do.Global Journal of Technology and Optimization is best open-access journal in Image recognition, publishes global research in the areas of energy optimization and engineering. The journal provides relevant theoretical frameworks and the latest empirical research findings in the areas of energy systems and hybrid intelligent optimization. Image recognition is the process of identifying and detecting an object or a feature in a digital image or video. This concept is used in many applications like systems for factory automation, toll booth monitoring, and security surveillance. Typical image recognition algorithms include: Optical character recognition, Pattern and gradient matching, Face recognition, License plate matching, Scene change detection etc.,Image recognition is the process of identifying and detecting an object or a feature in a digital image or video. This concept is used in many applications like systems for factory automation, toll booth monitoring, and security surveillance. Typical image recognition algorithms include:Optical character recognition, Pattern matching and gradient matching,Face recognition,License plate matching,Scene identification or scene change detection.Machine learning and deep learning methods can be a useful approach to image recognition.