Comparative study of Object Recognition Algorithms

Author:

Jaiswal R.S.,Sarode M.V.

Abstract

The world we live in is full of enormous masses of digital visual information. This enormous  amount of digital visual information motivates us to develop robust and efficient object recognition technique. Most of the work reported in this paper focuses focus light upon efficient techniques that can be used for recognition of object and its applications.  Here in this paper, various techniques for object recognition in an image are discussed.

Publisher

Science Publishing Corporation

Subject

Hardware and Architecture,General Engineering,General Chemical Engineering,Environmental Engineering,Computer Science (miscellaneous),Biotechnology

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep Learning object detection models: evolution and evaluation;Proceedings of the 15th International Conference on Digital Image Processing;2023-05-19

2. Generalized space time autoregressive (gstar)-artificial neural network (ann) model with multilayer feedforward networks architecture;IOP Conference Series: Earth and Environmental Science;2019-04-09

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