In a summary, my project is about multimodal biometric recognition and the feature extraction need to use iLDA or IPCA. and then classification need to use KNN with score level fusion.
To further explain,
1. In multimodal, i want face and fingerprint recognition. For this, I hope that you can put 500 dataset which are 350 in training and 150 in testing in each biometric.
2. In preprocessing , no need too complicated , maybe u just change RGB to gray and filter it.
3. In Feature extraction, both i need to use ILDA.
4. In classification, i want to use KNN with matching score level
After all done, i hope u can help me code GUI for face and fingerprint recognition. After all these done including train and testing. i would like to test it by using face and fingerprint scanner. For face i hope can use python or C++ and fingerprint i have my own devices.
I will send my report with hopes that it helps (btw, I have to change and modify the report itself too)