Vol 11, No 1 (2016)
Applications
An Efficient Skew Estimation Technique for Scanned Documents: An Application of Piece-Wise Painting Algorithm 1-14
Alireza Alaei, P. Nagabhushan, Umapada Pal, Fumitaka Kimura
In this paper, an effcient skew estimation technique based on iterative employment of the Piece-wise Painting Algorithm (PPA) on document images is presented.
JPRR Vol 11, No 1 (2016); doi:10.13176/11.635
A Brief Review of Human Identification Using Eye Movement 15-25
Nastaran Maus Esfahani
The vulnerability of conventional biometrics to spoof has caused considerable concern especially in those fields that require high reliable user identification.
JPRR Vol 11, No 1 (2016); doi:10.13176/11.705
Application of Approximate Equality for Reduction of Feature Vector Dimension 26-40
Kumar Sankar Ray, Srikanta Kolay
Reduction of feature vector dimension is a problem of selecting the most informative features from an information system. Using rough set theory we can reduce the feature vector dimension when all the attribute values are crisp or discrete.
JPRR Vol 11, No 1 (2016); doi:10.13176/11.639
Surveying Biometric Authentication for Mobile Device Security 74-110
Tempestt Neal, Damon Woodard
Mobile devices, such as smartphones and tablets, are frequently used for creation and transmission of private and sensitive messages and files.
JPRR Vol 11, No 1 (2016); doi:10.13176/11.764
Pattern Recognition Theory
Boosting Shape Classifiers Accuracy by Considering the Inverse Shape 41-54
Sébastien Piérard, Antoine Lejeune, Marc Van Droogenbroeck
Many techniques exist for describing shapes. These techniques almost exclusively consider the contour or the inside of the shape; the major problem for describing the outside of a shape, or inverse shape, being that it has an infinite extension.
JPRR Vol 11, No 1 (2016); doi:10.13176/11.727
Extending the K-Means Clustering Algorithm to Improve the Compactness of the Clusters 61-73
Antonia Nasiakou, Miltiadis Alamaniotis, Lefteri H. Tsoukalas
Clustering is a popular method essentially applied to data analysis, data mining, vector quantization and data compression. The most widely used clustering algorithm, which belongs to the group of partitioning algorithms, is the k-means.
JPRR Vol 11, No 1 (2016); doi:10.13176/11.745
Short Letters
Arabic OCR Using a Novel Hybrid Classification Scheme 55-60
Abdul Mueed Hafiz, Ghulam Mohiuddin Bhat
JPRR Vol 11, No 1 (2016); doi:10.13176/11.711