Journal of Image Processing & Pattern Recognition Progress

Journal of Image Processing & Pattern Recognition Progress (JoIPPRP) is a journal focused towards the rapid publication of fundamental research papers on all areas of Image Processing & Pattern Recognition. It's a triannual journal, started in 2014.

eISSN- 2394-1995

Journal DOI no.: 10.37591/JoIPPRP

Indexed In: DRJI, Google Scholar

Focus & Scope:

  • Image digital representation
  • Biometrics
  • new algorithms and/or technologies for biometrics
  • Element of visual perception
  • analysis of specific applications
  • Fourier transforms, Extension to 2 - D, DCT, Walsh transform, Hadamard transforms
  • Huffman and contour coding
  • Restoration Models: Constrained & Unconstrained
  • image coding
  • processing and analysis
  • geometric image processing and analysis
  • document processing and recognition
  • clustering and classification; statistical pattern recognition
  • neural networks for pattern recognition; computer vision; video segmentation and tracking
  • intelligent remote sensing, imagery research and discovery techniques
All contributions to the journal are rigorously refereed and are selected on the basis of quality and originality of the work. The journal publishes the most significant new research papers or any other original contribution in the form of reviews and reports on new concepts in all areas pertaining to its scope and research being done in the world, thus ensuring its scientific priority and significance.


Journal Homepage Image

Publisher: STM Journals, an imprint of CELNET (Consortium e-Learning Network Pvt. Ltd.)

Address: A-118, 1st Floor, Sector-63, Noida, Uttar Pradesh-201301, India

Phone no.: 0120-4781-221/ Email:


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Vol 7, No 1 (2020)

Open Access Open Access  Restricted Access Subscription or Fee Access

Table of Contents

Research Articles

Detailed Analysis of Various Data Compression Techniques PDF
Shashank Gautam 1-4
Machine Learning Approach to Determine Corrosion Potential of Friction Stir Welded Joints PDF
Akshansh Mishra, Adarsh Tiwari, Vaibhav ., Nitin Kumar Dubey 5-17
Quality Inspection, Maturity Detection, and Size based Grading of Various Types of Mangoes using Machine Learning Methods PDF
Farhana Tazmim Pinki, S.M. Mohidul Islam 18-31
Classification of Mammogram Images Using Multi-SVM PDF
A. Anbumani, Suresh Kumar P., Sathishkumar A. 32-51
Detection of Cracks and its Length PDF
Purbasha Das 52-61

ISSN: 2394-1995