Statistical methods for automatic interpretation of digitally scanned finger prints

Statistical methods for automatic interpretation of digitally scanned finger prints

Orientation flow field is the starting point for feature extraction in various fingerprint algorithms. In recent papers, Jain and his colleagues (Ratha et al., 1995, Karu and Jain, 1995, Ratha et al. 1996) introduced a fundamentally new algorithm. Their main motivation for the algorithm has been to work at the problems from a fingerprint matching point of view. Our aim in contrast has been feat...

Hardware for digitally controlled scanned probe microscopes

The design and implementation of a flexible and modular digital control and data acquisition system for scanned probe microscopes ( SPMs) is presented. The measured performance of the system shows it to be capable of 1Cbit data acquisition at a lOO-kHz rate and a full l&bit output resolution resulting in less than 0.02-A rms position noise while maintaining a scan range in excess of 1 pm in bot...

Racial Differences in Finger-Prints

Development of Latent Finger-Prints on Paper

An Intelligent Approach for Age Detection Using Finger Prints

The forensic investigators always search for fingerprint evidence which is seen as one of the best types of physical evidence linking a suspect to the crime. Discrete Wavelet Transform (DWT), the Singular Value Decomposition (SVD) and Principal Component Analysis (PCA) has been used to estimate a person‟s age using his/her fingerprint. Mostly K nearest neighbor (KNN) is used as a robust classif...