Handwritten Text Recognition is an extensively studied research topic.We implement a widely known binarization method in order to preprocess handwritten text images efficiently and accurately, acquiring adequate binary black-white images for later recognition processes. Afterwards, the characters present in the documents are used to train and evaluate deep-learning mechanisms for the recognition task. Our framework provides good source images for the recognition phase in terms of noise removal and processing of low contrast images. Besides, the process of character recognition is also improved by means of deep-learning techniques.Sociedad Argentina de Informática e Investigación Operativ
The traditional way of entering data into a computer is through the keyboard. However, this is not a...
Understanding the contents of handwritten texts from document images has long been a traditional fie...
This paper shows how the nowadays prevalent technology used in HTR borrows concepts and methods from...
Handwritten Text Recognition is an extensively studied research topic.We implement a widely known bi...
The task of automated recognition of handwritten texts requires various phases and technologies both...
The digitization of historical handwritten document images is important for the preservation of cult...
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-19390-8_24[EN...
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-19390-8_24[EN...
Handwritten document-image binarization is a semantic segmentation process to differentiate ink pixe...
Handwritten document-image binarization is a semantic segmentation process to differentiate ink pixe...
Handwritten document-image binarization is a semantic segmentation process to differentiate ink pixe...
Handwritten document-image binarization is a semantic segmentation process to differentiate ink pixe...
Document image processing and handwritten text recognition have been applied to a variety of materia...
Document image processing and handwritten text recognition have been applied to a variety of materia...
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-19390-8_24[EN...
The traditional way of entering data into a computer is through the keyboard. However, this is not a...
Understanding the contents of handwritten texts from document images has long been a traditional fie...
This paper shows how the nowadays prevalent technology used in HTR borrows concepts and methods from...
Handwritten Text Recognition is an extensively studied research topic.We implement a widely known bi...
The task of automated recognition of handwritten texts requires various phases and technologies both...
The digitization of historical handwritten document images is important for the preservation of cult...
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-19390-8_24[EN...
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-19390-8_24[EN...
Handwritten document-image binarization is a semantic segmentation process to differentiate ink pixe...
Handwritten document-image binarization is a semantic segmentation process to differentiate ink pixe...
Handwritten document-image binarization is a semantic segmentation process to differentiate ink pixe...
Handwritten document-image binarization is a semantic segmentation process to differentiate ink pixe...
Document image processing and handwritten text recognition have been applied to a variety of materia...
Document image processing and handwritten text recognition have been applied to a variety of materia...
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-19390-8_24[EN...
The traditional way of entering data into a computer is through the keyboard. However, this is not a...
Understanding the contents of handwritten texts from document images has long been a traditional fie...
This paper shows how the nowadays prevalent technology used in HTR borrows concepts and methods from...