H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 31 Citations 5,236 354 World Ranking 8126 National Ranking 462

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Statistics

Ahmed Bouridane mostly deals with Artificial intelligence, Pattern recognition, Computer vision, Feature extraction and Biometrics. His studies deal with areas such as Speech recognition and Identification as well as Artificial intelligence. His study explores the link between Pattern recognition and topics such as Hamming distance that cross with problems in Multi spectral.

His study on Edge detection, IRIS and Fingerprint is often connected to Crime scene as part of broader study in Computer vision. His study looks at the relationship between Feature extraction and fields such as Iris recognition, as well as how they intersect with chemical problems. The concepts of his Biometrics study are interwoven with issues in Feature and Fingerprint.

His most cited work include:

  • Digital image watermarking using balanced multiwavelets (172 citations)
  • Simultaneous feature selection and feature weighting using Hybrid Tabu Search/K-nearest neighbor classifier (158 citations)
  • FPGA implementations of fast Fourier transforms for real-time signal and image processing (122 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Artificial intelligence, Pattern recognition, Computer vision, Feature extraction and Biometrics. As part of his studies on Artificial intelligence, he frequently links adjacent subjects like Identification. His Pattern recognition research is multidisciplinary, incorporating elements of Contextual image classification and Histogram.

His Feature extraction research includes themes of Feature, Iris recognition, Feature, Local binary patterns and Principal component analysis. His study in Biometrics is interdisciplinary in nature, drawing from both Matching, Machine learning, Sensor fusion and Hidden Markov model. His Image processing research integrates issues from Reconfigurable computing and Signal processing.

He most often published in these fields:

  • Artificial intelligence (69.07%)
  • Pattern recognition (44.42%)
  • Computer vision (36.51%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (69.07%)
  • Pattern recognition (44.42%)
  • Feature extraction (22.56%)

In recent papers he was focusing on the following fields of study:

Ahmed Bouridane focuses on Artificial intelligence, Pattern recognition, Feature extraction, Computer vision and Biometrics. His biological study spans a wide range of topics, including Machine learning and Identification. Many of his research projects under Pattern recognition are closely connected to Gait with Gait, tying the diverse disciplines of science together.

His Feature extraction study incorporates themes from Feature, Feature, Histogram, Local binary patterns and Robustness. In general Computer vision study, his work on Kernel and Face often relates to the realm of Object detection, Pedestrian detection and Detector, thereby connecting several areas of interest. He has included themes like Fuzzy logic, Random forest, Medical diagnosis and Internet privacy in his Biometrics study.

Between 2015 and 2021, his most popular works were:

  • Smartphone Camera Based Visible Light Communication (60 citations)
  • Multi-spectral palmprint recognition based on oriented multiscale log-Gabor filters (42 citations)
  • Gait recognition based on modified phase-only correlation (40 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • Operating system

Ahmed Bouridane mainly focuses on Artificial intelligence, Pattern recognition, Feature extraction, Biometrics and Identification. His Artificial intelligence research incorporates themes from Machine learning, Data mining and Computer vision. The various areas that Ahmed Bouridane examines in his Computer vision study include Android Beam and Android.

His work in Pattern recognition tackles topics such as Robustness which are related to areas like Hash function and World Wide Web. His Feature extraction study combines topics in areas such as Histogram and Local binary patterns. His studies deal with areas such as Authentication and Internet privacy as well as Biometrics.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Digital image watermarking using balanced multiwavelets

L. Ghouti;A. Bouridane;M.K. Ibrahim;S. Boussakta.
IEEE Transactions on Signal Processing (2006)

302 Citations

Simultaneous feature selection and feature weighting using Hybrid Tabu Search/K-nearest neighbor classifier

Muhammad Atif Tahir;Ahmed Bouridane;Fatih Kurugollu.
Pattern Recognition Letters (2007)

242 Citations

FPGA implementations of fast Fourier transforms for real-time signal and image processing

I.S. Uzun;A. Amira;A. Bouridane.
IEE Proceedings: Vision, image and signal processing, ISSN 1350-245X, Vol. 152, Nº 3, 2005, págs. 283-296 (2005)

219 Citations

An effective and fast iris recognition system based on a combined multiscale feature extraction technique

Makram Nabti;Ahmed Bouridane.
Pattern Recognition (2008)

190 Citations

Design and implementation of a high level programming environment for FPGA-based image processing

D. Crookes;K. Benkrid;A. Bouridane;K. Alotaibi.
IEE Proceedings - Vision, Image, and Signal Processing (2000)

151 Citations

Fusion of Finger-Knuckle-Print and Palmprint for an Efficient Multi-Biometric System of Person Recognition

Abdallah Meraoumia;Salim Chitroub;Ahmed Bouridane.
international conference on communications (2011)

105 Citations

Multilabel classification using heterogeneous ensemble of multi-label classifiers

Muhammad Atif Tahir;Josef Kittler;Ahmed Bouridane.
Pattern Recognition Letters (2012)

102 Citations

Smartphone Camera Based Visible Light Communication

Rayana Boubezari;Hoa Le Minh;Zabih Ghassemlooy;Ahmed Bouridane.
Journal of Lightwave Technology (2016)

101 Citations

A multispectral computer vision system for automatic grading of prostatic neoplasia

M. Roula;J. Diamond;A. Bouridane;P. Miller.
international symposium on biomedical imaging (2002)

92 Citations

Protecting Fingerprint Data Using Watermarking

K. Zebbiche;L. Ghouti;F. Khelifi;A. Bouridane.
adaptive hardware and systems (2006)

88 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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