right now, I am doing my master thesis "fingerprint recognition with neural
network". I want to do it with neural network. But as I know, we use the neural network to classification. In our real life, the fingerprint application is work like that: first, stroe your fingerprint in the database, then use your fingerprint to match all the other fingerprints, if it is matched, that is your fingerprint; otherwise, it is the others. So How the nural network to classificate it, because all the fingerprint is not the same.
anybody who can explain me, please leave the message or send me by mail.
Read this thread in another DSP forum: **broken link removed**
There is a discussion about fingerprint recognition and some articles to download.
Check this too: **broken link removed**
My BS project is "fingrprint minutiae extraction using Neural Networks." I don't know where and how to start. I would highly appricate any kind of guidance.
My final year project also doing about fingerprint recognition by using neural network. My lecturer ask me to use Java to do it. I have been study about the back propagation
of neural network. I'm confusing how to start to do my final year project. Can anybody give a guide? Please tell me what is the first step, 2nd step and 3rd step have to do. What is the software or program i should use? Thanks