Measuring the Main Parameters of the Human Body in Images by Canny Edge Detector
Mousa Mojarrad,
Sedigheh Kargar
Issue:
Volume 2, Issue 5, October 2013
Pages:
100-105
Received:
12 August 2013
Published:
10 September 2013
Abstract: The main parameters of the human body can identify and estimate images easier. In this research, various images of people (short, long, lean and obese) were examined and their main features were extracted from the images. In this paper, four types of people in 2D dimension image will be tested and proposed. The system will extract the size and the advantage of them (such as: tall fat, short fat, tall thin and short thin) from images. Fat and thin, according to their result from the human body that has been extract from image, will be obtained. Also the system extract every size of human body such as length, width and shown them in the output.
Abstract: The main parameters of the human body can identify and estimate images easier. In this research, various images of people (short, long, lean and obese) were examined and their main features were extracted from the images. In this paper, four types of people in 2D dimension image will be tested and proposed. The system will extract the size and the ...
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Palmprint Recognition Using Multiscale Transform, Linear Discriminate Analysis, and Neural Network
Hatem Elaydi,
Mohanad A. M. Abukmeil,
Mohammed Alhanjouri
Issue:
Volume 2, Issue 5, October 2013
Pages:
112-118
Received:
21 October 2013
Published:
10 November 2013
Abstract: Palmprint recognition is gaining grounds as a biometric system for forensic and commercial applications. Palmprint recognition addressed the recognition issue using low and high resolution images. This paper uses PolyU hyperspectral palmprint database, and applies back-propagation neural network for recognition, linear discriminate analysis for dimensionality reduction, and 2D discrete wavelet, ridgelet, curvelet, and contourlet for feature extraction. The recognition rate accuracy shows that contourlet outperforms other transforms.
Abstract: Palmprint recognition is gaining grounds as a biometric system for forensic and commercial applications. Palmprint recognition addressed the recognition issue using low and high resolution images. This paper uses PolyU hyperspectral palmprint database, and applies back-propagation neural network for recognition, linear discriminate analysis for dim...
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