1 code implementation • 22 Jul 2022 • Andre G. Hochuli, Alceu S. Britto Jr., Paulo R. L. de Almeida, Williams B. S. Alves, Fabio M. C. Cagni
When using vision-based approaches to classify individual parking spaces between occupied and empty, human experts often need to annotate the locations and label a training set containing images collected in the target parking lot to fine-tune the system.
no code implementations • 28 Apr 2021 • Mengqiao Zhao, Andre G. Hochuli, Abbas Cheddad
The plethora of digitalised historical document datasets released in recent years has rekindled interest in advancing the field of handwriting pattern recognition.
no code implementations • 29 Oct 2020 • Andre G. Hochuli, Alceu S. Britto Jr, David A. Saji, Jose M. Saavedra, Robert Sabourin, Luiz S. Oliveira
Over the last decades, most approaches proposed for handwritten digit string recognition (HDSR) have resorted to digit segmentation, which is dominated by heuristics, thereby imposing substantial constraints on the final performance.
no code implementations • 28 Mar 2020 • Andre G. Hochuli, Alceu S. Britto Jr., Jean P. Barddal, Luiz E. S. Oliveira, Robert Sabourin
An end-to-end solution for handwritten numeral string recognition is proposed, in which the numeral string is considered as composed of objects automatically detected and recognized by a YoLo-based model.
no code implementations • 24 Apr 2018 • Andre G. Hochuli, Luiz E. S. Oliveira, Alceu S. Britto Jr, Robert Sabourin
This paper presents segmentation-free strategies for the recognition of handwritten numeral strings of unknown length.