D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 30 Citations 4,423 135 World Ranking 8719 National Ranking 220

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Machine learning
  • Computer vision

Her scientific interests lie mostly in Biometrics, Artificial intelligence, Data mining, Pattern recognition and Computer vision. Her Biometrics study incorporates themes from Algorithm, Hamming distance, Fingerprint recognition and Fingerprint. Her Data mining study deals with Iris recognition intersecting with Information retrieval and Template matching.

In general Pattern recognition, her work in Hidden Markov model is often linked to Verification system and Process linking many areas of study. As a part of the same scientific family, Bernadette Dorizzi mostly works in the field of Computer vision, focusing on Particle swarm optimization and, on occasion, Image processing, Near-infrared spectroscopy, Subspace topology, Feature and Palm print. In her work, Image segmentation is strongly intertwined with Normalization, which is a subfield of Feature extraction.

Her most cited work include:

  • ECG signal analysis through hidden Markov models (219 citations)
  • The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB) (180 citations)
  • BIOMET: a multimodal person authentication database including face, voice, fingerprint, hand and signature modalities (122 citations)

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

The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Biometrics, Computer vision and Speech recognition. Her research related to Hidden Markov model, Iris recognition, Segmentation, Facial recognition system and Feature extraction might be considered part of Artificial intelligence. Her Pattern recognition research incorporates themes from Entropy and Robustness.

Bernadette Dorizzi has included themes like Cryptography, Key, Data mining and Authentication in her Biometrics study. Her study in the field of Face, IRIS, Image processing and Image also crosses realms of Process. Her work on Viterbi algorithm as part of general Speech recognition study is frequently connected to Word recognition, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.

She most often published in these fields:

  • Artificial intelligence (60.36%)
  • Pattern recognition (37.28%)
  • Biometrics (31.95%)

What were the highlights of her more recent work (between 2012-2021)?

  • Artificial intelligence (60.36%)
  • Pattern recognition (37.28%)
  • Iris recognition (14.20%)

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

Her primary scientific interests are in Artificial intelligence, Pattern recognition, Iris recognition, Computer vision and Biometrics. With her scientific publications, her incorporates both Artificial intelligence and Point. In general Pattern recognition study, her work on Support vector machine, Hidden Markov model and Image segmentation often relates to the realm of Minimum jerk, thereby connecting several areas of interest.

Bernadette Dorizzi interconnects Mixture model and Normalization in the investigation of issues within Computer vision. Her Biometrics research is multidisciplinary, incorporating elements of Image processing, Data mining, Face and Authentication. Her Data mining study combines topics from a wide range of disciplines, such as Key and Sensor fusion.

Between 2012 and 2021, her most popular works were:

  • OSIRIS: An open source iris recognition software ☆ (84 citations)
  • C-FMCW Based Contactless Respiration Detection Using Acoustic Signal (33 citations)
  • Retinal image quality assessment using deep learning. (32 citations)

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

  • Artificial intelligence
  • Machine learning
  • Computer vision

Bernadette Dorizzi mainly focuses on Artificial intelligence, Pattern recognition, Feature extraction, Data mining and Biometrics. Her Pattern recognition study integrates concerns from other disciplines, such as Image quality and Deep learning. The concepts of her Feature extraction study are interwoven with issues in Image segmentation, Normalization and Iris recognition.

Bernadette Dorizzi combines subjects such as Representation, Noise and State with her study of Data mining. Her biological study spans a wide range of topics, including Password, Authentication and Benchmark. Her work on Template matching, Segmentation and Image resolution as part of general Computer vision study is frequently linked to Osiris, bridging the gap between disciplines.

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.

Best Publications

ECG signal analysis through hidden Markov models

R.V. Andreao;B. Dorizzi;J. Boudy.
IEEE Transactions on Biomedical Engineering (2006)

343 Citations

The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)

Javier Ortega-Garcia;Julian Fierrez;Fernando Alonso-Fernandez;Javier Galbally.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2010)

248 Citations

BIOMET: a multimodal person authentication database including face, voice, fingerprint, hand and signature modalities

Sonia Garcia-Salicetti;Charles Beumier;Gérard Chollet;Bernadette Dorizzi.
Lecture Notes in Computer Science (2003)

218 Citations

On Using the Viterbi Path Along With HMM Likelihood Information for Online Signature Verification

Bao Ly Van;S. Garcia-Salicetti;B. Dorizzi.
systems man and cybernetics (2007)

178 Citations

Palm Vein Verification System Based on SIFT Matching

Pierre-Olivier Ladoux;Christophe Rosenberger;Bernadette Dorizzi.
international conference on biometrics (2009)

169 Citations

Human activities of daily living recognition using fuzzy logic for elderly home monitoring

Hamid Medjahed;Dan Istrate;Jerome Boudy;Bernadette Dorizzi.
ieee international conference on fuzzy systems (2009)

148 Citations

Guide to Biometric Reference Systems and Performance Evaluation

Dijana Petrovska-Delacrtaz;Grard Chollet;Bernadette Dorizzi.
(2009)

141 Citations

An application of a recurrent network to an intrusion detection system

H. Debar;B. Dorizzi.
international joint conference on neural network (1992)

128 Citations

Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms

N. Poh;T. Bourlai;J. Kittler;L. Allano.
IEEE Transactions on Information Forensics and Security (2009)

125 Citations

Designing efficient fusion schemes for multimodal biometric systems using face and palmprint

R. Raghavendra;Bernadette Dorizzi;Ashok Rao;G. Hemantha Kumar.
Pattern Recognition (2011)

116 Citations

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