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 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.
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.
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.
Digital image watermarking using balanced multiwavelets
L. Ghouti;A. Bouridane;M.K. Ibrahim;S. Boussakta.
IEEE Transactions on Signal Processing (2006)
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)
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)
An effective and fast iris recognition system based on a combined multiscale feature extraction technique
Makram Nabti;Ahmed Bouridane.
Pattern Recognition (2008)
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)
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)
Multilabel classification using heterogeneous ensemble of multi-label classifiers
Muhammad Atif Tahir;Josef Kittler;Ahmed Bouridane.
Pattern Recognition Letters (2012)
Smartphone Camera Based Visible Light Communication
Rayana Boubezari;Hoa Le Minh;Zabih Ghassemlooy;Ahmed Bouridane.
Journal of Lightwave Technology (2016)
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)
Protecting Fingerprint Data Using Watermarking
K. Zebbiche;L. Ghouti;F. Khelifi;A. Bouridane.
adaptive hardware and systems (2006)
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.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: