Soetrisna, Tike Tiana (2007) Pengenalan citra wajah berbasis transformasi wavelet dan jaringan syaraf tiruan model propagasi balik = Face recognition using wavelet transform and back-propagation neural network. Bachelor thesis, Universitas Pelita Harapan.
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Abstract
The application of image recognition is widely found in the automation industry. Fundamentally, image recognition is a study on how the computer can recognize images automatically. Particularly, this research discusses about face recognition which is based on Wavelet Transform and Back-propagation Neural Network. A sample of 25 face images was taken from five people. All images were stored in the form of the 24-bit Bitmap format. The recognition process started with changing the images into 8-bit grayscale format, followed by extracting that image features with wavelet transform. By using this transform the size of the image was reduced from (96 128) pixels into (12 16) pixels. The result of this process was a matrix of [25 197]. Finally, the matrix was used as an input in the back-propagation neural network process for classifying the image. A number of experiments were then conducted to evaluate the performance of the system. The result has shown that this method has successfully recognized the given images with about 97.33% of accuracy and got threshold about 0.813108 which came from one hidden layer artificial neural network configuration.
Item Type: | Thesis (Bachelor) | ||||||||||||
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Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science | ||||||||||||
Divisions: | University Subject > Current > Faculty/School - UPH Karawaci > School of Information Science and Technology > Information Systems Current > Faculty/School - UPH Karawaci > School of Information Science and Technology > Information Systems |
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Depositing User: | Stefanus Tanjung | ||||||||||||
Date Deposited: | 25 Apr 2024 07:42 | ||||||||||||
Last Modified: | 25 Apr 2024 07:42 | ||||||||||||
URI: | http://repository.uph.edu/id/eprint/62902 |
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