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Title: :  Identification of flower based on the intelligent system
PaperId: :  2500
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 3 2016
DUI:    16.0415/IJARIIE-2500
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Zarna Parmargovernment engineering college,sector 28, gandhinagar

Abstract

computer engineering
Flower Classification, SVM, Grain Analysis
Nowadays it is very important to identify naturally occurring objects and recognize their types. To identify different flower images based on its surface parameter is challenging and also an expensive task. Flower classification is a useful way for grouping a flower in certain class using specific features. Flowers have different parameters like color, texture and grains. The combined feature extracted from each of its parameter can be used to identify flower type and recognize its signature. Different supervised classification algorithms are being used to build model. Flower surface has different parameters like grain, color, texture etc. Image color is a combination of similar patterns with a regular frequency. It is an attribute that represents a spatial pixel arrangement in a region. Flower color contains clusters of grain patches with regular interval. So we can identify different flowers based on its color image. The feature extracted from color parameter is used to identify flower type or recognize its signature.

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IJARIIE Zarna Parmar. "Identification of flower based on the intelligent system" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 3 2016 Page 2730-2732
MLA Zarna Parmar. "Identification of flower based on the intelligent system." International Journal Of Advance Research And Innovative Ideas In Education 2.3(2016) : 2730-2732.
APA Zarna Parmar. (2016). Identification of flower based on the intelligent system. International Journal Of Advance Research And Innovative Ideas In Education, 2(3), 2730-2732.
Chicago Zarna Parmar. "Identification of flower based on the intelligent system." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 3 (2016) : 2730-2732.
Oxford Zarna Parmar. 'Identification of flower based on the intelligent system', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, 2016, p. 2730-2732. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Identification_of_flower_based_on_the_intelligent_system_ijariie2500.pdf (Accessed : ).
Harvard Zarna Parmar. (2016) 'Identification of flower based on the intelligent system', International Journal Of Advance Research And Innovative Ideas In Education, 2(3), pp. 2730-2732IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Identification_of_flower_based_on_the_intelligent_system_ijariie2500.pdf (Accessed : )
IEEE Zarna Parmar, "Identification of flower based on the intelligent system," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, pp. 2730-2732, May-Jun 2016. [Online]. Available: http://ijariie.com/AdminUploadPdf/Identification_of_flower_based_on_the_intelligent_system_ijariie2500.pdf [Accessed : ].
Turabian Zarna Parmar. "Identification of flower based on the intelligent system." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 3 ().
Vancouver Zarna Parmar. Identification of flower based on the intelligent system. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : ]; 2(3) : 2730-2732. Available from: http://ijariie.com/AdminUploadPdf/Identification_of_flower_based_on_the_intelligent_system_ijariie2500.pdf
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