TELKOMNIKA Telecommunication, Computing, Electronics and Control
Face recognition based on curvelets, invariant moments features and SVM

Dublin Core

Title

TELKOMNIKA Telecommunication, Computing, Electronics and Control
Face recognition based on curvelets, invariant moments features and SVM

Subject

Curvelet, Face recognition, Invariant moment, Support vector machine

Description

Recent studies highlighted on face recognition methods. In this paper, a new algorithm is proposed for face recognition by combining Fast Discrete Curvelet Transform (FDCvT) and Invariant Moments with Support vector machine (SVM), which improves rate of face recognition in various situations. The reason of using this approach depends on two things. first, Curvelet transform which is a multi-resolution method, that can efficiently represent image edge discontinuities; Second, the Invariant Moments analysis which is a statistical method that meets with the translation, rotation and scale invariance in the image. Furthermore, SVM is employed to classify the face image based on the extracted features. This process is applied on each of ORL and Yale databases to evaluate the performance of the suggested method. Experimentally, the proposed method results show that our system can compose efficient and reasonable face recognition feature, and obtain useful recognition accuracy, which is able to face and side-face states detection of persons to decrease fault rate of production.

Creator

Mohammed Talal Ghazal, Karam Abdullah

Source

DOI: 10.12928/TELKOMNIKA.v18i2.14106

Publisher

Universitas Ahmad Dahlan

Date

April 2020

Contributor

Sri Wahyuni

Rights

ISSN: 1693-6930

Relation

http://journal.uad.ac.id/index.php/TELKOMNIKA

Format

PDF

Language

English

Type

Text

Coverage

TELKOMNIKA Telecommunication, Computing, Electronics and Control

Files

Collection

Tags

,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon ,

Citation

Mohammed Talal Ghazal, Karam Abdullah, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Face recognition based on curvelets, invariant moments features and SVM,” Repository Horizon University Indonesia, accessed April 3, 2025, https://repository.horizon.ac.id/items/show/3672.