All humans have tiny ridges and valleys of skin on their fingertips, formed through a combination of genetic and environmental factors, building unique fingerprints for each human being. Even identical twins have unique fingerprints. Such unique biometric trait set the platform to build fingerprint recognition systems. Over the several years of advancement in finger recognition technology, several types of fingerprint sensors like Optical, Ultrasonic, Passive capacitance, Active capacitance etc. were industrialized. Optical fingerprint sensors use imaging technology, capturing a digital image of the print using visible light. Ultrasonic sensors make use of the principles of medical ultrasonography using very high frequency sound waves in order to create visual images of the fingerprints. Capacitance sensors rely on principles associated with capacitance in order to form fingerprint images. To function accurately, the fingerprint scanner systems are coupled with software that uses highly complex algorithms to recognize and analyze the captured fingerprint image.