@inproceedings{71f02894aafd4b459920ccf4692443e2,
title = "Comparison of feature extraction methods for head recognition",
abstract = "Feature extraction plays an important role in head recognition. It transforms an original image into a specific vector to be fed into a classifier. An original image cannot be further processed directly. Raw information in an original image does not represent a specific pattern and a machine cannot understand that information.",
keywords = "Head recognition, histogram of transition, HOG, LBP, transition feature",
author = "Panca Mudjirahardjo and Tan, \{Joo Kooi\} and Hyoungseop Kim and Seiji Ishikawa",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 17th International Electronics Symposium, IES 2015 ; Conference date: 29-09-2015 Through 30-09-2015",
year = "2016",
month = jan,
day = "12",
doi = "10.1109/ELECSYM.2015.7380826",
language = "English",
series = "Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "118--122",
editor = "Hendhi Hermawan and Ahmad Zainudin and Nugraha, \{Syechu Dwitya\} and Erik Tridianto and Hendy Briantoro and Permatasari, \{Desy Intan\}",
booktitle = "Proceedings - 2015 International Electronics Symposium",
}