Fahimeh Alaei

Orcid: 0000-0002-3483-3882

Affiliations:
  • Southern Cross University, Lismore, NSW, Australia
  • Griffith University, School of ICT, NSW, Australia (PhD)


According to our database1, Fahimeh Alaei authored at least 11 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Review of age and gender detection methods based on handwriting analysis.
Neural Comput. Appl., November, 2023

A Comparison of Demographic Attributes Detection from Handwriting Based on Traditional and Deep Learning Methods.
Proceedings of the Document Analysis and Recognition - ICDAR 2023 Workshops, 2023

2021
Gender Detection Based on Spatial Pyramid Matching.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

2019
A comparative study of different texture features for document image retrieval.
Expert Syst. Appl., 2019

Document Image Retrieval Based on Visual Saliency Maps.
Proceedings of the 8th International Workshop on Camera-Based Document Analysis and Recognition, 2019

2018
Evaluation of Gist Operator for Document Image Retrieval.
Proceedings of the 13th IAPR International Workshop on Document Analysis Systems, 2018

2017
Fast local binary pattern: Application to document image retrieval.
Proceedings of the 2017 International Conference on Image and Vision Computing New Zealand, 2017

2016
Document image retrieval based on texture features and similarity fusion.
Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand, 2016

A brief review of document image retrieval methods: Recent advances.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Document Image Retrieval Based on Texture Features: A Recognition-Free Approach.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

2014
A New One-Class Classification Method Based on Symbolic Representation: Application to Document Classification.
Proceedings of the 11th IAPR International Workshop on Document Analysis Systems, 2014


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