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Lion/Lioness Gender Recognition

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2019
Hari Chandana Karnam Rajendraprasad

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

	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 = {},
	doi = {10.5120/ijca2019919493},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


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.


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