Fingerprint classification combined with Gabor filter and convolutional neural network

Neural Network based Fingerprint Classification

This paper introduces a new approach of fingerprint classification system based on ANN. Most automated fingerprint identification system uses prior classification of fingerprint using minutiae as feature. But in such methods the performance of minutiae extractions relies heavily on an enhancement algorithm and also it needs improvement as they are limited to the number of classable data. Thus m...

Combined Optical and Neural Network Fingerprint Matching

Fast Separable Gabor Filter for Fingerprint Enhancement

Since two-dimensional Gabor filter can be separated into onedimensional Gaussian low pass filter and one-dimensional Gaussian band pass filter to the perpendicular, a new set of separable Gabor filters are implemented for fingerprint enhancement. This separable Gabor filtering consumes approximately 2.6 time faster than the conventional Gabor filtering with comparable enhancement results. This ...

Fingerprint Verification based on Gabor Filter Enhancement

Human fingerprints are reliable characteristics for personnel identification as it is unique and persistence. A fingerprint pattern consists of ridges, valleys and minutiae. In this paper we propose Fingerprint Verification based on Gabor Filter Enhancement (FVGFE) algorithm for minutiae feature extraction and post processing based on 9-pixel neighborhood. A global feature extraction and finger...

Gabor Filter-based Multiple Enrollment Fingerprint Recognition

Minutiae-based matching techniques have been widely used in the implementation of multiple enrollment fingerprint recognition systems. However, these techniques suffer the difficulty of automatically extracting all minutiae points due to failure to detect the complete ridge structures of a fingerprint. With poor quality fingerprint images, detection of minutiae points as well as describing all ...