This paper describes a probabilistic method for three-dimensional object recognition using a shared pool of surface signatures. This technique uses flatness, orientation, and convexity signatures that encode the surface of a free-form object into three discriminative vectors, and then creates a shared pool of data by clustering the signatures using a distance function. This method applies the B...

Authentication is a key challenge to ascertain effectively, in present era. Many techniques have been introduced so far, but most of them fail due to certain shortcomings. Face recognition has bloomed as robust face recognition based technique among other biometric based authentication approaches. This paper aims at effectively recognizing a given face using eigenface and eigenvector method. Th...

There have been many recent advances in pattern recognition technologies, particularly those involving visual pattern recognition tasks. How do these machine capabilities compare to human capabilities in visual pattern recognition tasks? Which can perform better in the feature extraction processes, machine or human? This study compares machine and human in color and shape recognition tasks, as ...

The article describes the algorithmic component of the pattern recognition method for extracting hand patterns from a video stream. Methods removing excess information from frames, localizing fragments with a hand and extracting hand contours to classify them are described. Keywords-pattern recognition; Hu invariants; Canny detector; video stream processing

This paper presents a new system developed in Java for pattern recognition and pattern summarisation in multi-band (RGB) satellite images. The system design is described in some detail. Results of testing the system to analyse and summarise patterns in SPOT MS images and LANDSAT images are also discussed. Keywords—Pattern recognition, image analysis, feature extraction, blackboard component, li...

We describe a method for generating sentences from “keywords” or “headwords”. This method consists of two main parts, candidate-text construction and evaluation. The construction part generates text sentences in the form of dependency trees by using complementary information to replace information that is missing because of a “knowledge gap” and other missing function words to generate natural ...

Face Recognition is a technique that can be used for verification and identification. The main objective is to maximize the accuracy and to minimize the complexity, time and error factors. The success of Face Recognition can be ensured by various techniques like ICA (Independent Component Analysis, PCA (Principle Component Analysis, MIS (Mirror Image Superposition), GF (Gaussian Filtering) and ...

The novel approach to speaker adaptation within speech recognition system basing on late clustering of prototype speakers is presented. For a new speaker the speaker prototype is created dynamically on the basis of selected remembered prototypes that are similar enough to the new one. The training utterances are prepared in an optimized way to decrease training duration without negative influen...

-A translation-invariant back-propagation network is described that performs better than a soph&ticated continuous acoustic parameter hidden Markov model on a noisy, lO0-speaker confusable vocabulary isolated word recognition task. The network's replicated architecture permits it to extract precise information from unaligned training patterns selected by a naive segmentation rule. Keywords--Iso...

JPEG XR is considered as a lossy sample data compression scheme in the context of iris recognition techniques. It is shown that by optimising the JPEG XR quantisation strategy, JPEG XR default quantisation as well as JPEG2000 based iris recognition can be improved in terms of EER. The optimised JPEG XR quantisation strategy shows good performance across a wide range of iris feature extraction t...