Abstract—This paper presents the results of the HDRC 2013 competition for recognition of handwritten digits organized in conjunction with ICDAR 2013. The general objective of this competition is to identify, evaluate and compare recent developments in character recognition and to introduce a new challenging dataset for benchmarking. We describe competition details including dataset and evaluation measures used, and give a comparative performance analysis of the nine (9) sub-mitted methods along with a short description of the respective methodologies. I
This report is a masters thesis written at the Department of Mathematics, Linköping University. Two...
Recognition of handwritten digits is a problem, which could serve as model task for multiclass recog...
In this paper, multiple learning techniques based on Optical character recognition (OCR) for the han...
The CVL Single Digit dataset consists of 7000 single digits (700 digits per class) written by approx...
This dataset comprises the dataset used for the ICDAR 2015 Competition on Handwritten Text Recognit...
Abstract: In this paper, we present an overview of existing handwritten character recognition techn...
This paper covers the work done in handwritten digit recognition and the various classifiers that ha...
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
International audienceWe report on the third international Competition on Handwritten Mathematical E...
International audienceWe summarize the tasks, protocol, and outcome for the 6th Competition on Recog...
This system has been trained using the first 40 pages of Train-A (https://zenodo.org/record/439807#....
Pattern recognition plays a vital role due to demand in artificial intelligence in practical problem...
Nowadays Hand written Character Recognition (HCR) is major remarkable and difficult research domain ...
This paper presents the results of the Handwriting Segmentation Contest that was organized in the co...
Handwritten digit recognition is one of the most important issues in the area of pattern recognition...
This report is a masters thesis written at the Department of Mathematics, Linköping University. Two...
Recognition of handwritten digits is a problem, which could serve as model task for multiclass recog...
In this paper, multiple learning techniques based on Optical character recognition (OCR) for the han...
The CVL Single Digit dataset consists of 7000 single digits (700 digits per class) written by approx...
This dataset comprises the dataset used for the ICDAR 2015 Competition on Handwritten Text Recognit...
Abstract: In this paper, we present an overview of existing handwritten character recognition techn...
This paper covers the work done in handwritten digit recognition and the various classifiers that ha...
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
International audienceWe report on the third international Competition on Handwritten Mathematical E...
International audienceWe summarize the tasks, protocol, and outcome for the 6th Competition on Recog...
This system has been trained using the first 40 pages of Train-A (https://zenodo.org/record/439807#....
Pattern recognition plays a vital role due to demand in artificial intelligence in practical problem...
Nowadays Hand written Character Recognition (HCR) is major remarkable and difficult research domain ...
This paper presents the results of the Handwriting Segmentation Contest that was organized in the co...
Handwritten digit recognition is one of the most important issues in the area of pattern recognition...
This report is a masters thesis written at the Department of Mathematics, Linköping University. Two...
Recognition of handwritten digits is a problem, which could serve as model task for multiclass recog...
In this paper, multiple learning techniques based on Optical character recognition (OCR) for the han...