Face recognition technique based on artificial neural network and principal component analysis

المؤلفون المشاركون

Batti, Nur Hamdi
al-Hamami, Ala Husayn

المصدر

International Computer Sciences and Informatics Conference, Amman, Jordan 12-13 January 2016.

الناشر

جامعة عمان العربية

تاريخ النشر

2016-01-31

دولة النشر

الأردن

عدد الصفحات

13

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص الإنجليزي

This research will use data mining (DM) algorithm and principle component analysis (PCA) to extract features from images by using Eigen vector function.

Data mining and PCA are the process of finding correlations or patterns in the images then take these image features to neural network for training and testing.

Image pre-processing is required prior to presenting the training or testing images to the neural network.

This process is to reduce the computational cost and providing a faster recognition system while presenting the neural network with sufficient data representation of each face to achieve meaningful learning.

At the end, the attained outcomes from the tests will be demonstrated and analyzed, which these tests are based on colored pictures with one face background.

A comparison will be done to relate works with proposed algorithm to accomplish good precision.

نوع البيانات

أوراق مؤتمرات

رقم السجل

BIM-767266

• APA
• MLA
• AMA