A new method using feature extraction for identifying paddy rice species for quality seed selection

ABSTRACT

The purpose of this work was to explore a new feature extraction method for classifying paddy seeds using a feature extraction algorithm to achieve the area ratio, horizontal–slant and front–rear angles and find whether the proposed features have high discriminating power. Another objective was to find the smallest feature set that can ensure highly accurate recognition of seeds. A total of a 100 image features were extracted, and features having significant discriminating power were identified based on the analysis of variance (ANOVA). From the 100 features, 14 features were found to have high discriminating power and from these features, six were selected as the proposed features. Experimental results show that the proposed features and removal of redundant features enhanced the discriminating power of the feature set, and that the proposed features have an excellent discriminating property for seeds. The presented features resulted in the highest classification accuracy (98.8%) when compared to other methods.

KEYWORDS:

• Dot-product
• feature-subset
• front–rear
• horizontal–slant
• paddy seed
• vector

Acknowledgement

The authors are thankful to the Seed testing laboratory, Pune for providing the information for this study.

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes on contributors

Archana Chaugule has a Ph.D from Savitribai Phule Pune University, Maharashtra, India. She is having 19 Years of teaching experience and is having 12 international and national journals and conferences publications. She is a member of ACM and life member of ISTE. She is a reviewer of many journals like Springers Signal, Image and Video Processing journal SpringerPlus, SpringerOpen Complex Intelligent Systems and British Journal of Mathematics Computer Science. Her areas of interest include Image Processing and Machine Learning.

Dr. Suresh N. Mali is presently working as Principal Sinhgad Institute of Technology and Science, Narhe, Pune, India. He has written 3 technical books and published 25 papers in various national and international journals and conferences. He has also worked as Member of ‘Local Inquiry Committee’ on behalf of University of Pune. He is a member of IEEE, life member of ISTE and his research interests are information security, data hiding, signal processing, digital multimedia communications and Steganography.