![]() ![]() ![]() We obtained the highest Rank-1 identification rate of 100% for FVC2002/2004 and 84.5% for NIST SD27 fingerprint databases. The minutiae extraction results show significant improvement in precision, recall, and F1 scores. Experiments are conducted on FVC2002, FVC2004, and NIST SD27 latent fingerprint databases. Based on the extracted minutiae, the fingerprints are automatically aligned, and a matching score is calculated using a proposed “Frequency Enhanced Minutiae Matcher (FEMM)” algorithm. Minutiae from the enhanced ridges are automatically extracted using a proposed “Automated Latent Minutiae Extractor (ALME)”. We propose an “FFT Enhancement” algorithm to enhance and extract the ridges from the frequency enhanced map. The Deep Convolutional Neural Network (DCNN) produces a frequency enhanced map from fingerprint domain knowledge. To achieve this, we have proposed a method to automatically enhance the poor-quality fingerprint images using the “Automated Deep Convolutional Neural Network (DCNN)” and “Fast Fourier Transform (FFT)” filters. In this paper, we have proposed an end-to-end fingerprint matching system to automatically enhance, extract minutiae, and produce matching results. To ensure the robustness of fingerprint matching against low quality latent fingerprint images, it is essential to include a good fingerprint enhancement algorithm before minutiae extraction and matching. Most of the state-of-the-art AFIS failed to produce good matching results due to poor ridge patterns and the presence of background noise. The performance of such systems relies heavily on the quality of the input fingerprint images. Hence, minutiae extraction is considered to be a very important step in AFIS. One of the critical steps used in automatic latent fingerprint matching is to automatically extract reliable minutiae from fingerprint images. Sheshgiri College of Engineering, and Technology, Belagavi, IndiaĪutomatic Latent Fingerprint Identification Systems (AFIS) are most widely used by forensic experts in law enforcement and criminal investigations. 2Department of Computer Science and Engineering, KLE Dr.1Department of Electronics and Communication Engineering, KLS Gogte Institute of Technology, Belagavi, India. ![]()
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