About the Journal

The International Journal of Biometrics, Image Processing and Computing Research (IJBIPCR) is a peer-reviewed, open-access scholarly journal committed to publishing innovative research, methods, and applications in the fields of biometrics, image analysis, signal processing, computer vision, artificial intelligence, and computational systems. It serves as a global platform for researchers, scientists, and practitioners to disseminate knowledge that advances both theory and practice in digital identity, pattern recognition, intelligent imaging, and computing technologies.

IJBIPCR strives to bridge the gap between academic research and real-world applications by fostering interdisciplinary collaboration and providing access to the latest developments in computing-driven biometric and image-based solutions.

Aim

The aim of the International Journal of Biometrics, Image Processing and Computing Research is to promote cutting-edge research and technological innovation that strengthens knowledge and practice in computing sciences. The journal is dedicated to:

  • Publishing original and high-impact research in biometrics, image processing, and computing systems.
  • Encouraging the integration of artificial intelligence, deep learning, and machine learning into biometric and visual recognition technologies.
  • Providing a platform for interdisciplinary collaboration between computing, engineering, and applied sciences.
  • Supporting the dissemination of practical solutions that address global challenges in security, identity verification, healthcare imaging, and automation.

Scope

The scope of IJBIPCR includes but is not limited to the following areas:

  • Biometrics: Face, iris, fingerprint, gait, and multimodal biometric authentication.
  • Image Processing: Image enhancement, segmentation, restoration, and feature extraction.
  • Computer Vision: Object detection, recognition, tracking, and 3D vision systems.
  • Signal & Pattern Recognition: Speech, handwriting, and pattern analysis using AI-driven models.
  • Artificial Intelligence & Deep Learning: Neural networks, generative models, and intelligent decision-making in image and biometric research.
  • Healthcare & Medical Imaging: Imaging techniques for diagnosis, treatment planning, and biomedical computing applications.
  • Security & Privacy: Biometric encryption, spoof detection, and privacy-preserving computing.
  • Emerging Computing Technologies: Cloud computing, edge AI, IoT integration, and big data analytics in biometric and image research.

IJBIPCR welcomes original research articles, review papers, case studies, and technical notes that contribute to advancing knowledge and practice in biometrics, image processing, and computing sciences.