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You can use a laplacian or moment based edge detection scheme for horizontal AND vertical edges.. The former is a simple differentiator mask and the latter is a direct application of central moments of an image..
Hey, I have worked on a very similar project and the best way to implement a palm-recognition system is to binarise the image (be very careful regarding the threshold level you use-this will come with some hit and trials) and feed it to a neural network..
You can run a standard template matching algorithm to recognize the letters. In case the fonts are not same, use an ANN.. You ought to be getting very good results.. :D
Cheers
Hey,
First of all, you want to compare the WHOLE picture or a SPECIFIC AREA..? The former is totally unpractical and is not used for PR (pattern recognition) applications anywhere..
Now, speaking of the latter, firstly you have to identify your region of interest (for example, for iris...
Re: Help on FFT
Frequency analysis means analysis of a TIME domain signal in the FREQUENCY domain. This is done because (generally) frequency domain characteristics give more precise results than their time domain counterparts.
Also, freq-domain characters tend to be more or less immune to...
Re: plotting spectrum in matlab
In the mathematical formulation of the DFT, we use <refer figure 1>
This expression can also be written in terms of a DFT matrix; when scaled appropriately it becomes a unitary matrix and the DFT signal (Xk) can thus be viewed as coefficients of input signal...
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