Local binary pattern (LBP)

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• Published Subscription Review Article 15 Apr 2024

  Facial Biometrics Driven Attendance Automation Solution Using LBPH Algorithm

  By Yashdeep Singh Maurya, Anurag Agarwal, Manogya Singh, Amit Karmakar

  Abstract: In today's educational landscape, managing attendance remains a central administrative task, often conducted manually on paper, consuming valuable time for educators. This project proposes a solution utilizing facial recognition technology to streamline the attendance process, thereby saving time and maintaining accurate student records. The objective is to develop an automated attendance system that is minimally intrusive, cost-effective, and highly efficient, leveraging computer vision techniques and algorithms like local binary patterns …

  Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 27–35 Read article →

• Published Subscription 6 Sep 2016

  A Statistical Approach Noise Tolerant Texture Classification

  By Raparthi Shilpa, B. Satish Chandra

  Abstract: A simple, efficient, yet robust multi resolution approach to texture classification binary rotation invariant and noise tolerant. The proposed approach is very fast to build and very compact while remaining robust to illumination variations, rotation changes, and noise. We have developed a novel and simple strategy to compute a local binary descriptor based on the conventional local binary pattern (LBP) approach, preserving the advantageous characteristics of uniform LBP. Points are …

  Published in Research & Reviews: Discrete Mathematical Structures · Vol. 3, Issue 2, 2016 · pp. 14–19 Read article →

• Published Subscription 20 Aug 2015

  Content-based Image Retrieval using SURF Feature Point Descriptor and Local Binary Pattern with Color Histogram

  By Vivek Verma, Punit Kumar Johari

  Abstract: An important research issue in multimedia technology is the retrieval of similar objects. Most of the content-based image retrieval (CBIR) uses the low-level features such as color, shape and texture to extract the features from the images. A short time ago, the interest points are used to extract the most relevant images with different view point and transformations. Speed up Robust Feature (SURF) is robust and fast interest points detector/descriptor …

  Published in Journal of Open Source Developments · Vol. 2, Issue 2, 2015 · pp. 9–15 Read article →