Blumenstein, Michael - School of Information and Communication Technology, Griffith University

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Blumenstein, Michael - School of Information and Communication Technology, Griffith University

Robust Character Recognition using a Hierarchical Bayesian Network
Conventional Vs. NeuroConventional Segmentation Techniques for Handwriting Recognition: A Comparison
A Neural Based Segmentation and Recognition Technique for Handwritten Words
This paper describes an enhanced neural network-based segmentation technique for improving the segmentation
AN ARTIFICIAL NEURAL NETWORK BASED SEGMENTATION ALGORITHM FOR OFFLINE
Abstract--This paper presents an investigation of a neural-based technique for detecting and quantifying persons in beach
Image Compression using a Direct Solution Method Based Neural Network S. Kulkarni, B. Verma and M. Blumenstein
A Neural Network for RealWorld Postal Address Recognition Michael Blumenstein and Brijesh Verma
NEW PREPROCESSING TECHNIQUES FOR HANDWRITTEN WORD RECOGNITION
A New Segmentation Algorithm for Handwritten Word Recognition M. Blumenstein1
Analysis of Segmentation Performance on the CEDAR Benchmark Database Michael Blumenstein and Brijesh Verma
FuzzyHeuristic Robot Navigation in a Simulated Environment S. K. Deshpande, M. Blumenstein and B. Verma
Experimental Analysis of the Modified Direction Feature for Cursive Character Recognition
The Neural-based Segmentation of Cursive Words using Enhanced Heuristics Chun Ki Cheng and Michael Blumenstein
Abstract--In the past decade, artificial neural networks (ANNs) have been widely applied to the engineering problems
AN INTELLIGENT SYSTEM FOR REMOTE MONITORING AND PREDICTION OF BEACH SAFETY.
Neuralbased Solutions for the Segmentation and Recognition of Difficult Handwritten Words from a Benchmark Database
A Modified Direction Feature for Cursive Character Recognition M. Blumenstein and X. Y. Liu
RECENT ACHIEVEMENTS IN OFFLINE HANDWRITING RECOGNITION SYSTEMS
INVESTIGATION OF A CLASSIFICATION-BASED TECHNIQUE TO DETECT ILLICIT OBJECTS FOR AVIATION SECURITY
ENHANCING NEURAL CONFIDENCE-BASED SEGMENTATION FOR CURSIVE HANDWRITING RECOGNITION
A Neural-Genetic Technique for Coastal Engineering: Determining Wave-induced
June 8, 2006 20:6 WSPC/157-IJCIA ws-ijcia International Journal of Computational Intelligence and Applications
Off-line Signature Verification based on the Modified Direction Feature Stephane Armand, Michael Blumenstein and Vallipuram Muthukkumarasamy
The detection and quantification of persons in cluttered beach scenes using neural network-based classification
INTELLIGENT ILLICIT OBJECT DETECTION SYSTEM FOR ENHANCED AVIATION SECURITY
A Texture Feature Extraction Technique Using 2DDFT and Hamming Distance
A New Compression Technique Using an Artificial Neural Network B. Verma, M. Blumenstein and S. Kulkarni
Abstract--Signatures continue to be an important biometric for authenticating the identity of human beings. This paper
Strategies for Improving a Java-based, First Year Programming Course Michael Blumenstein
A Novel Feature Extraction Technique for the Recognition of Segmented Handwritten Characters
> REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < 1 Abstract--In this paper, an artificial neural network (ANN) is
A Segmentation Algorithm used in Conjunction with Artificial Neural Networks for the Recognition of RealWorld Postal Addresses
A Neural Network based Technique for Data Compression B. Verma, M. Blumenstein and S. Kulkarni