Fingerprints have been widely accepted throughout the world and is considered to be the most prominent biometric. Several robust techniques have been developed for fingerprint matching and identification. This paper discusses some state-of-the-art techniques of fingerprint identification or recognition using pattern matching. In The paper we are showing classifies the recognition techniques bas...

SVM is extensively used in pattern recognition because of its capability to classify future unseen data and its’ good generalization performance. Several algorithms and models have been proposed for pattern recognition that uses SVM for classification. These models proved the efficiency of SVM in pattern recognition. Researchers have compared their results for SVM with other traditional empiric...

There are different techniques that can be used to recognize handwritten digits and characters. Two techniques discussed in this paper are: Pattern Recognition and Artificial Neural Network. Both techniques are defined and different methods for each technique is also discussed. Bayesian Decision theory, Nearest Neighbor rule, and Linear Classification or Discrimination is types of methods for P...

Methodology for assessment of depth of anaesthesia based on analysis of the electroencephalogram (EEG) is controversial. Techniques range from display of single measures, for example median value of the frequency spectrum, to dedicated pattern recognition systems based on measures of several EEG features. We have compared the performance of four techniques using tape-recorded data from 23 patie...