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Automatic Online Recognition of Foreign Fibers from Cotton Using Machine Learning
Kanchan Babaji Dhomse1, Kishor Motiram Mahale2

1Prof. Kanchan B. Dhomse, Department of Information Technology, Savitribai Phule Pune University, Mumbai Educational Trust’ Bandra Kurla Complex Institutes of Eminence, Nashik, India.

2Prof. Kishor M. Mahale, Department of Information Technology, Savitribai Phule Pune University, Mumbai Educational Trust’ Bandra Kurla Complex Institutes of Eminence, Nashik, India.

Manuscript received on 08 April 2019 | Revised Manuscript received on 15 April 2019 | Manuscript Published on 26 April 2019 | PP: 459-463 | Volume-8 Issue-6S April 2019 | Retrieval Number: F60940486S19/19©BEIESP

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: As we all know that food, clothes and house are the important things. To get the best clothes purified cotton need to remove foreign fibers from being mixed with cotton. It is a tremendous and most challenging task to accurately classify foreign fibers from cotton. This article proposes a proficient recognition and classification system to accurately recognize foreign fibers mixed with cotton. In machine learning, the kernel extreme learning machine is the main component. It is an efficient classifier based on the two-step grid search strategy which collect a active search with a fine search and is adopted to train an optimal KELM recognition model in it. To find out the accurate result, the final model is compared with valid data set using tenfold cross-validation analysis. In this paper an experimental results show that the proposed recognition system can be achieve classification accuracy as high as 93.57 percent which is greater than the other two state-of-the-art systems.

Keywords: Foreign Fibers in Cotton, Kmean Algorithm, Kernel Extreme Learning Machine, Online Recognition System.
Scope of the Article: Machine Learning