A New Flower Classification System Using LBP and SURF Features

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Prashengit Dhar 1,*

1. Cox’s Bazar City College, Cox’s Bazar, Bangladesh

* Corresponding author.

DOI: https://doi.org/10.5815/ijigsp.2019.05.02

Received: 6 Oct. 2018 / Revised: 13 Dec. 2018 / Accepted: 16 Feb. 2019 / Published: 8 May 2019

Index Terms

LBP, SURF, SVM, ROC, MSER, confusion matrix, active contour, segmentation


Flowers are blessing of nature. Classification of flowers as a natural image is difficult as they are surrounded by background. So a segmentation phase is needed to separate the flower from background as good as possible. Computer vision has gained much attention for classification task. This paper proposes a method to classify flower with the help of LBP and SURF as features and SVM as a classifier. Input image is pre-processed for enhancement of image quality. Then the image is segmented by applying active contour segmentation method. After segmentation of the image, LBP and SURF features are extracted. SURF features are extracted from MSER regions. Then both features are concatenated. These concatenated features are sent for classification to SVM classifier. Quadratic SVM is employed here. Quadratic SVM trains these feature and tests to classify. We also tried out with different classifier. But they provide poor results. Proposed quadratic SVM achieves an accuracy of 87.2% which is significant and comparable for this classification taskK.

Cite This Paper

Prashengit Dhar, "A New Flower Classification System Using LBP and SURF Features", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.11, No.5, pp. 13-20, 2019. DOI: 10.5815/ijigsp.2019.05.02


[1]T. Tiay, P. Benyaphaichit, P. Riyamongkol, “Flower Recognition System Based on Image Processing”, IEEE Third ICT International Student Project Conference, pp. 99-102, 2014

[2]A. Angelova, S. Zhu, Y. Lin, “Image segmentation for large-scale subcategory flower recognition”, IEEE Workshop on Applications of Computer Vision (WACV), pp. 39-45. 2013.

[3]Avishikta Lodh, Ranjan Parekh, "Flower Recognition System based on Color and GIST Features",2017 Devices for Integrated Circuit (DevIC),pp.790-794

[4]Wei Liu, Yunbo Rao, Baijiang Fan, Jiali Song,Qifei Wang,"Flower Classification using Fusion Descriptor and SVM",Internation Smart Cities Conference 2017

[5]Krishna Singh, Indra Gupta, S. G., "Svm-bdt pnn and fourier moment technique for of leaf shape", International Journal of Signal Processing, Image Processing and Pattern Recognition (2010), pp.67–78.

[6]Amira Ben Mabrouk, Asma Najjar and Ezzeddine Zagrouba,"Image Flower Recognition based on a New Method for Color Feature Extraction”, International Conference on Computer Vision Theory and Applications(2014),pp.201-206

[7]I.Gogul, V.Sathiesh Kumar,"Flower Species Recognition System using Convolution Neural Networks and Transfer Learning",International Conference on Signal Processing, Communications and Networking (ICSCN -2017)

[8]Siraj, Fadzilah, Muhammad Ashraq Salahuddin, and Shahrul Azmi Mohd Yusof, “Digital Image Classification for Malaysian Blooming Flower”, Computational Intelligence, Modelling and Simulation (CIMSiM), IEEE, 2010.

[9]A. H. Kulkarni, H. M. Rai, K. A. Jahagirdar and P. S. Upparamani, “A Leaf Recognition Technique for Plant Classification Using RBPNN and Zernike Moments”, International Journal of Advanced Research in Computer and Communication Engineering (2013), Vol. 2, Issue 1, pp. 984-988.

[10]Nilsback and Andrew Zisserman, “A Visual Vocabulary for Flower Classification”, Computer Vision and Pattern Recognition, IEEE Computer Society Conference on. Vol.2, 2006.

[11]X. Y. Wang, L. L. Liang and W. Y. Li, ”A new SVM-based relevance feedback image retrieval using probabilistic feature and weighted kernel function”, Journal of Visual Communication & Image Representation, vol. 38, pp. 256-275, 2016.

[12]T. Hsu, C. Lee, L. Chen, “An interactive flower image recognition system”, Springer, Multimedia Tools and Applications, Volume 53, Issue 1, pp 53–73, May 2011.

[13]Rashed Mustafa, Prashenjit Dhar,” A Method to Recognize Food using Gist and SURF Features” 2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), pp:127-130.

[14]Hossam M. Zawbaa,  Mona Abbass,  Sameh H. Basha, Maryam Hazman, Abul Ella Hassenian,”An automatic flower classification approach using machine learning algorithms:, International Conference on Advances in Computing, Communications and Informatics (ICACCI),2014.

[15]AnakornTiay, Pipimphorn Benyaphaichit, Panomkhawn Riyamongkol,” Flower recognition system based on image processing”, Third ICT International Student Project Conference (ICT-ISPC),2014, pp: 99 – 102.