Halalnet: A deep neural network that classifies the halalness of slaughtered chicken from their images
Halal requirement in food is important for millions of Muslims worldwide especially for meat and chicken products, insuring that slaughter houses adhere to this requirement is a challenging task to do manually. In this paper a method is proposed that uses a camera that takes images of slaughtered ch...
Saved in:
Main Authors: | Elfakharany, A., Yusof, R., Ismail, N., Arfa, R., Yunus, M. |
---|---|
Format: | Article |
Language: | English |
Published: |
Penerbit UTHM
2019
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/89042/1/NordinahIsmail2019_HalalnetADeepNeuralNetworkThatClassifies.pdf http://eprints.utm.my/id/eprint/89042/ http://dx.doi.org/10.30880/ijie.2019.11.04.014 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Detecting halal or non halal slaughtered chicken by image processing
by: Ardekani, Ali Vaseghi
Published: (2012) -
Identification of potential biomarker in heart proteome for authentication of Halal slaughtered chicken
by: Abu Samah, Norshahida, et al.
Published: (2010) -
Characterization of properly slaughtered and non properly slaughtered chicken
by: Saeed Rabih , Almur Abdelkreem, et al.
Published: (2012) -
Development of a rapid, simple and reliable method for identification of halal slaughtered chicken
by: Amid, Azura, et al.
Published: (2009) -
DIELECTRIC PROPERTIES OF PROPERLY SLAUGHTERED AND NON PROPERLY SLAUGHTERED CHICKEN
by: SAEED RABIH, ALMUR ABDELKREEM
Published: (2011)