Furthermore, these technologies encounter a significant security threat, since every acquisition of fingerprint leaves a latent print of the finger on the sensor surface, which could be easily lifted off the sensor surface. Further, contact-based sensors have a high maintenance cost as they can be faulted easily when not appropriately used during physical contact. This can lead to the spread of contagious diseases to users also, the system might not work as expected due to the accumulation of dust and dirt on the sensor. ĭue to the constant physical contact of each individual’s finger with the sensor in contact-based AFRS, there might be an issue where the cleanliness of the sensor should be of the most importance. Non-linear spatial distortions and low contrast regions due to improper pressures of the finger on the sensor platen are some of the challenges that are common in contact-based biometric systems. Generally, in contact-based AFRS, the fingerprint image is captured with the incorporation of an advanced complementary MOSFET (CMOS) image sensor.
#HARDWARE FINGERPRINT VERIFICATION PDF#
The proposed system achieves anĮqual-error-rate of 2.19 READ FULL TEXT VIEW PDF The performance of the proposed system isĮvaluated on an in-house IITI contactless fingerprint dataset (IITI-CFD)Ĭontaining 105train and 100 test subjects. Perform contactless fingerprint recognition in real-time with minimum latencyĪnd acceptable matching accuracy. Most importantly, the proposed system isĭeveloped using the Nvidia Jetson Nano development kit, which allows us to Scores are fused to obtain the final matching score between the probe and Scores from CNN-based features and minutiae-based features. Siamese convolutional neural network (CNN) is designed to extract globalįeatures from a given finger photo. The captured finger photos are then processedįurther to obtain global and local (minutiae-based) features. Recognition system that captures finger photo from a distance using an image In this paper, we propose an approach for developing a contactless fingerprint
However, these systems suffer from issues such as hygiene, sensorĭegradation due to constant physical contact, and latent fingerprint threats. To their robustness, portability and the extensive research work done in theįield. Specifically, contact-based fingerprint recognition systems reign supreme due Fingerprints are one of the most widely explored biometric traits.
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