Italy

ICPR 2020

Children’s Online Arabic Handwriting Quality Evaluation &amp; Analysis

cursive handwriting.

mobile device

beta-elliptic model

online handwriting

segmentation

evaluation

analysis

ICPR 2020 is the premier international conference on Pattern Recognition, gathering leading researchers from around the world to present their latest achievements in Pattern Analysis and Recognition, applied Artificial Intelligence and Machine Learning. The topic of the year is " Putting Artificial intelligence to work on Patterns". 
For the first time, ICPR has employed a two-round review process similar to journal submissions, with new papers allowed to be submitted in either the first or second round and papers submitted in the first round and not accepted allowed to be revised and re-submitted for second round review. 

In this edition of the **ICPR 2020** Conference, there are 1407 Oral/Poster presentations organized in five Tracks: 
- Artificial Intelligence, Machine Learning for Pattern Analysis; 
- Biometrics, Human Analysis and Behavior Understanding; Computer Vision, Robotics and Intelligent Systems; 
- Document and Media Analysis; and 
- Image and Signal Processing. 

The **ICPR 2020** Main Conference program also includes 7 Keynotes from prominent world-renowned scientists, 8 Tutorials, 28 Demos, 8 Challenges, 2 Panels, as well as an Industry/Sponsor Exhibition. In addition, 41 Workshops on a range of important current and emerging research topics complete the ICPR 2020 program. 


Children’s Online Arabic Handwriting Quality Evaluation & Analysis

demo

Maria Petru Award: Maja Pantic

The Next Generation Graph Neural Networks

Measuring algorithmic bias in face analysis: towards an experimental approach

Scalable, Person-Agnostic Deepfake Detection In the Wild

The Interplay of Speech and Lip Movements

DeepFake Cracker: a novel tool for deepfake video detection

Silhouette Body Measurement Benchmarks

Cross-modal, Cross-domain Biometric Systems

Where and What Research in PR

Discussion with industry

technical paper

keynote

https://d3smihljt9218e.cloudfront.net/transcript/9550/subtitle/c46545f84df58f1cd85ca4b300b5635e.vtt

English (automatic)

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