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A new algorithm for on-line handwriting signature verification is proposed. 15 statistic features is used for representing the signature, which extracted from the handwritten signature, at the same time, applied as the input of Back Propagation Neural Network. Via the Daubechies-6 wavelet transforming, 32 wavelet decomposition coefficients of X coordinate and Y coordinate are selected as wavelet features...
The edge detection of the images is so important for image processing. There are different methods for improving edge detection. In the present work, a neural networks based system for edge extraction of Chinese winespsila micrographs is presented. Back propagation neural network (BPNN) with an improved activation function employing four adjustable parameters is used. Multi-scale mathematical morphological...
In this paper, a simple method for crack identification in steel plates based on statistical time energy is presented. A simple experimental procedure is also proposed to measure the vibration at different positions of a steel plate. The plate is excited by an impulse signal and made to vibrate; statistical features are then extracted from the vibration signals which are measured at different locations...
Automated eye disease identification systems facilitate the ophthalmologists in accurate diagnosis and treatment planning. In this paper, an automated system based on artificial neural network is proposed for eye disease classification. Abnormal retinal images from four different classes namely non-proliferative diabetic retinopathy (NPDR), Central retinal vein occlusion (CRVO), Choroidal neovascularisation...
In this paper, a simple method for crack identification in steel plates based on frame energy based discrete cosine transformation (DCT) is presented. A simple experimental procedure is also proposed to measure the vibration at different positions of the steel plate. The plate is excited by an impulse signal and made to vibrate. Energy based DCT features are then extracted from the vibration signals...
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