Probabilistic neural network and invariant moments for men face shape classification
نویسندگان
چکیده
منابع مشابه
Accurate Fault Classification of Transmission Line Using Wavelet Transform and Probabilistic Neural Network
Fault classification in distance protection of transmission lines, with considering the wide variation in the fault operating conditions, has been very challenging task. This paper presents a probabilistic neural network (PNN) and new feature selection technique for fault classification in transmission lines. Initially, wavelet transform is used for feature extraction from half cycle of post-fa...
متن کاملRotation Invariant Neural Network-Based Face Detection
The system (see Figure 2) uses a neural network, called a “router”, to analyze each window of the input before it is processed by a “detector” network. If the window contains a face, the router returns the angle of the face. The window can then be “derotated” to make the face upright. The derotated window is then passed to the detection network, which decides whether a face is present. If a non...
متن کاملInvariant Neural-Network Based Face Detection with Orthogonal Fourier-Mellin Moments
In this paper, we apply a recently developed type of moments, Orthogonal Fourier-Mellin Moments (OFMMs) [7], to the specijic problem of fully translation-, scaleand inplane rotation-invariant detection of human faces in twodimensional static color images, and we compare theirperformance with that of the generalized Hu's moments or nonorthogonal Fourier-Mellin moments (FMMs). As compared to the ...
متن کاملElectrocardiogram Beat Classification using Probabilistic Neural Network
The Electrocardiogram (ECG) plays significant role in assessing patients with abnormal activity in their heart. ECG recordings of the patient taken to analyze abnormality and classify type of disorder present in the heart functionality. An Electrocardiogram is a bioelectrical signal that records the heart’s electrical activity versus time. It is used to measure the rate and regularity of heartb...
متن کاملFace detection by neural network trained with Zernike moments
We present in this communication a new method to localize a face in an image. The originality of work presented consists on the use of vectors of geometrical moments like entries to a Forward BackPropagation neural network which provide at its output layer a vector of co-ordinates in (R,θ) representing pixels surrounding the face contained in the treated image. Very known for their orthogonalit...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IOP Conference Series: Materials Science and Engineering
سال: 2018
ISSN: 1757-899X
DOI: 10.1088/1757-899x/420/1/012095