While there is no single book explicitly titled “ The Ultimate Guide to Fingerprint Recognition System Design,” the definitive industry bible on this exact subject is the Handbook of Fingerprint Recognition by Davide Maltoni, Dario Maio, Anil K. Jain, and Salil Prabhakar.
Designing a fingerprint recognition system requires a complex blend of hardware engineering, advanced image processing, and secure database management. An end-to-end framework of how these systems are engineered breaks down into several key components. 1. Hardware & Sensing Layer
The system must capture the physical ridge patterns of a finger and translate them into a high-quality digital image. Engineers choose from three main types of live-scan sensors:
Optical Sensors: Use internal light reflection (FTIR) to photograph the print. They are durable but bulky.
Capacitive (Solid-State) Sensors: Use electrical currents to map the distance between the skin’s ridges and valleys. These dominate consumer electronics like smartphones.
Ultrasonic Sensors: Emit high-frequency sound waves to penetrate the outer layer of skin. They capture highly accurate 3D maps and easily bypass surface dirt or sweat. 2. Preprocessing & Image Enhancement
Raw fingerprint images are often noisy due to dry skin, scars, or pressure variations. The preprocessing pipeline includes: Handbook of Fingerprint Recognition | Springer Nature Link
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