Call for Paper - November 2022 Edition
IJCA solicits original research papers for the November 2022 Edition. Last date of manuscript submission is October 20, 2022. Read More

Lion/Lioness Gender Recognition

Print
PDF
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2019
Authors:
Hari Chandana Karnam Rajendraprasad
10.5120/ijca2019919493

Hari Chandana Karnam Rajendraprasad. Lion/Lioness Gender Recognition. International Journal of Computer Applications 177(12):9-12, October 2019. BibTeX

@article{10.5120/ijca2019919493,
	author = {Hari Chandana Karnam Rajendraprasad},
	title = {Lion/Lioness Gender Recognition},
	journal = {International Journal of Computer Applications},
	issue_date = {October 2019},
	volume = {177},
	number = {12},
	month = {Oct},
	year = {2019},
	issn = {0975-8887},
	pages = {9-12},
	numpages = {4},
	url = {http://www.ijcaonline.org/archives/volume177/number12/30947-2019919493},
	doi = {10.5120/ijca2019919493},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

A Lion’s facial structure provides important features about its gender. This project presents an approach for gender detection from images considering facial structure as a region of interest. At the end of the project the system should be able to automatically detect the gender of a lion based on collected data. The project can potentially be expanded to cover a wider range of animals that can be used to keep record and prevent the extinction of protected species.

References

  1. Emon Kumar Dey, Mohsin Khan, Md Haider Ali, “Computer Vision-Based Gender Detection from Facial Image,” International Journal of Advanced Computer Science, Vol.3, No.8, Pp428-433, Aug. 2013.
  2. Dalal, N. and B. Triggs. "Histograms of Oriented Gradients for Human Detection", IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol. 1 (June 2005), pp. 886–893.W.-K. Chen, Linear Networks and Systems (Book style). Belmont, CA: Wadsworth, 1993, pp. 123–135.
  3. Nehemiah, A. “Code for Face Recognition with Matlab Webinar”, (November 2015). [Online]. Available: http://www.citethisforme.com/ guides/ieee/how-to-cite-a-website
  4. [Wikipedia][13 May 2019] Article retrieved from URL[ https://en.wikipedia.org/wiki/Histogram_of_oriented_gradients
  5. [MATLAB] [13 May 2019]. Article retrieved from URL https://www.mathworks.com/help/stats/fitcecoc.html?searchHighlight=fitcecoc&s_tid=doc_srchtitle
  6. [MATLAB] [13 May 2019]. Article retrieved from URL https://www.mathworks.com/help/stats/classificationecoc.predict.html
  7. [MATLAB] [13 May 2019]. Article retrieved from URL www.mathworks.com ‘compare strings’,1994-2019. Available : www.mathworks.com/help/matlab/ref/ strcmp.html
  8. [www.mathworks.com ‘predict, 1994-2019.]. Article retrieved from URL www.mathworks.com /help/stats/ compactclassificationdiscriminant.predict.
  9. Allwein, E., R. Schapire, and Y. Singer. “Reducing multiclass to binary: A unifying approach for margin classifiers.” Journal of Machine Learning Research. Vol. 1, 2000, pp. 113–141.
  10. Escalera, S., O. Pujol, and P. Radeva. “On the decoding process in ternary error-correcting output codes.” IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 32, Issue 7, 2010, pp. 120–134.
  11. www.worldwildlife.org ‘species endangered list’, 2019 Available on www.worldwildlife.org/species/directory?page=2&ssor=extinction_status. [Accessed : 13 May 2019]

Keywords

Animal, face, lion, lioness, recognition, gender, specie