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.
Article In Press: A Prescriptive Analytics Approach to Markdown Pricing for a in E-Commerce Retailer
JPRR Article #842
This paper introduces a prescriptive analytics approach to solving markdown-pricing optimization for an e-commerce retailer capable of price differentiation based on customer demand elasticity and the cost of delivery or other services. We consider a situation when the retailer has a limited but potentially large amount of inventory that is stored at multiple fulfillment centers and must be sold by a certain exit date. The objective is to maximize the gross profit, defined as the total revenue minus total shipping cost. We propose a model which predicts, based on historical data, the demand from each customer group as a function of price. Then we formulate the optimization using non-linear objective function and constraints and describe a so-called randomized decomposition approach to finding a near-optimal solution. Finally, we discuss the results of our computational experiments.
JPRR selected for the Emerging Sources Citation Index (ESCI)

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Vol 12, No 1 (2017)
Pattern Recognition Theory
Pattern Similarity Score Based on One Dimensional Time Series Analysis 1-6
A novel procedure to quantify similarity in different images based on time-series analysis is reported. Pattern recognition and matching operation includes parameters such as mean, correlation, mutual information etc.
JPRR Vol 12, No 1 (2017); doi:10.13176/11.744
Violence Detection From ECG Signals: A Preliminary Study 7-13
This research studied violence detection from less than 6-second ECG signals. Features were calculated based on the Bivariate Empirical Mode Decomposition (BEMD) and the Recurrence Quantification Analysis (RQA) applied to ECG signals from violence simulation in a primary school, involving 12 pupils from two grades.
JPRR Vol 12, No 1 (2017); doi:10.13176/11.790
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