A wide variety of systems requires reliable personal recognition schemes to either confirm or determine the identity of an individual requesting their services. The purpose of such schemes is to ensure that the rendered services are accessed only by a legitimate user and no one else. Examples of such applications include secure access to buildings, computer systems, laptops, cellular phones, and ATMs. In the absence of robust personal recognition schemes, these systems are vulnerable to the wiles of an impostor. Biometric recognition, or, simply, biometrics, refers to the automatic recognition of individuals based on their physiological and/or behavioral characteristics. By using biometrics, it is possible to confirm or establish an individual's identity based on "who she is", rather than by "what she possesses" (e.g., an ID card) or "what she remembers" (e.g., a password). We give a brief overview of the field of biometrics and summarize some of its advantages, disadvantages, strengths, limitations, and related privacy concerns.

/pdf/an-introduction-to-biometric-recognition-2ww6p38fok.pdf

An introduction to biometric recognition

A major new professional reference work on fingerprint security systems and technology from leading international researchers in the field Handbook provides authoritative and comprehensive coverage of all major topics, concepts, and methods for fingerprint security systems This unique reference work is an absolutely essential resource for all biometric security professionals, researchers, and systems administrators

/pdf/handbook-of-fingerprint-recognition-16mh887j24.pdf

Handbook of Fingerprint Recognition

https://www.cse.msu.edu/~rossarun/pubs/RossScoreNormalization_PR05.pdf

Score normalization in multimodal biometric systems

Genetically identical cells and organisms exhibit remarkable diversity even when they have identical histories of environmental exposure. Noise, or variation, in the process of gene expression may contribute to this phenotypic variability. Recent studies suggest that this noise has multiple sources, including the stochastic or inherently random nature of the biochemical reactions of gene expression. In this review, we summarize noise terminology and comment on recent investigations into the sources, consequences, and control of noise in gene expression.

https://science.sciencemag.org/content/sci/309/5743/2010.full.pdf

Noise in Gene Expression: Origins, Consequences, and Control

Information fusion in biometrics

In this project, we focus on a spy robotic vehicle that can be used by police and military officers to detect criminals and various rescue operations. The robot car will be controlled by any android device using wireless technology such as Wi-Fi, Bluetooth or GSM technology. Live video streaming, night vision and 360 views are provided so that a good view of the scene can be achieved by physically removing the person from the scene. It can be used for search mission purposes. It is the development of an efficient electronic system using a robot controlled by computer, resembles like an Electro-mechanical system. Some of the most important features required for this work is the sense of hearing, movement, energy, intelligence. We have created an Android application to direct the movement of the RC car by having a control from the remote. Therefore, the cell phone that keeps the Android system works as a car remote control. In this case, we have built a Car that can work wirelessly, with Android mobile. We can represent how Car controls and streams live Wi-Fi video streaming via the Android system. 

Salil Prabhakar

Papers

Design and fabrication of mobile spy robot