The Journal of Pattern Recognition Research (JPRR) provides an international forum for the electronic publication of high-quality research and industrial experience articles in all areas of pattern recognition, machine learning, and artificial intelligence. JPRR is committed to rigorous yet rapid reviewing. Final versions are published electronically
(ISSN 1558-884X) immediately upon acceptance.
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Vol 11, No 1 (2016)
An Efficient Skew Estimation Technique for Scanned Documents: An Application of Piece-Wise Painting Algorithm 1-14
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
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
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
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
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
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
JPRR Vol 11, No 1 (2016); doi:10.13176/11.711
Vol 10, No 1 (2015)
IR Contrast Enhancement Through Log-Power Histogram Modification 1-23
A simple power-logarithm histogram modification operator is proposed to enhance IR image contrast. The algorithm combines a logarithm operator that smoothes the input image histogram while retaining the relative ordering of the original bins, with a power operator that restores the smoothed histogram to an approximation of the original input histogram.
JPRR Vol 10, No 1 (2015); doi:10.13176/11.617
Dynamic Hand Gesture Recognition for Sign Words and Novel Sentence Interpretation Algorithm for Indian Sign Language Using Microsoft Kinect Sensor 24-38
Indian sign language interpretation is an important task to facilitate communication among Indian deaf community and other people.
JPRR Vol 10, No 1 (2015); doi:10.13176/11.626
Fuzzy C-Means With Local Membership Based Weighted Pixel Distance and KL Divergence for Image Segmentation 53-60
This paper presents a new technique for incorporating local membership information into the standard fuzzy C-means (FCM) clustering algorithm.
JPRR Vol 10, No 1 (2015); doi:10.13176/11.605
Multi Cameras Based Indoors Human Action Recognition Using Fuzzy Rules 61-74
In this paper, the recognition of human actions in an indoor work environment using multi cameras is proposed. HOG features learned using AdaBoost and optimized by background differencing are used to detect people, while the overlapping camera views are merged using perspective transformation.
JPRR Vol 10, No 1 (2015); doi:10.13176/11.651
Pattern Recognition Theory
Best Model Classification 39-52
This is about frames of reference for analyzing data and how the frames can be parameterized by measurements of the data. The topic is discussed in terms of a classification method that chooses among alternative frames of reference.
JPRR Vol 10, No 1 (2015); doi:10.13176/11.634