Enhanced convnet based Latent Finger Print Recognition

Latent finger print recognition plays an important role in forensic, criminal cases etc. The latent images will not be recognised easily since they are impartial images, which find difficult to match with the registered database. Due noisy it is very for recognition. Autoencoder pre-processing image. ConvNetbased method efficient approach used image For each minutiae extraction, ConvNet descriptor performed. Both and texture matcher considered comparison. This technique compared existing methods shows, that proposed provides a higher accuracy than like CNN, skeleton nonlinear mapping product quantization. of 76.4%, 80.4% 86.4% rank1,5 10 respectively.