scholarly journals End-to-end platform evaluation for Spanish Handwritten Text Recognition

2021 ◽  
pp. 81-95
Author(s):  
Eduardo Xamena ◽  
Héctor Emanuel Barboza ◽  
Carlos Ismael Orozco
Keyword(s):  
Machine Learning ◽  
Spanish Language ◽  
Text Recognition ◽  
Automated Recognition ◽  
Handwritten Text ◽  
Handwritten Text Recognition ◽  
New Models ◽  
Original Contribution ◽  
Comprehensive Manner ◽  
End To End

The task of automated recognition of handwritten texts requires various phases and technologies both optical and language related. This article describes an approach for performing this task in a comprehensive manner, using machine learning throughout all phases of the process. In addition to the explanation of the employed methodology, it describes the process of building and evaluating a model of manuscript recognition for the Spanish language. The original contribution of this article is given by the training and evaluation of Offline HTR models for Spanish language manuscripts, as well as the evaluation of a platform to perform this task in a complete way. In addition, it details the work being carried out to achieve improvements in the models obtained, and to develop new models for different complex corpora that are more difficult for the HTR task.

scholarly journals Handwritten Text Recognition Using Machine Learning

2021 ◽  
pp. 106-108
Author(s):  
Yojana Swapneel Samant
Keyword(s):  
Machine Learning ◽  
Object Identification ◽  
Advanced Technology ◽  
Text Recognition ◽  
Digit Recognition ◽  
Digital Format ◽  
Handwritten Text ◽  
Handwritten Text Recognition ◽  
Handwritten Digit ◽  
The Given

The human race has shown a huge interest in machines over the years and has developed and advanced to a very large extent in this domain. Starting from the object identification and classification through pictures to editing for the captured image or video everything can be performed through machines and advanced systems, one such part of this advanced technology is deep learning or machine learning. which comes with its own individual set of modules, algorithms, and techniques. Similar to this domain one such idea which was discovered is handwritten digit recognition. This is one of such areas where development and research occur around the numerical also known as digits, where a number of possibilities, permutations, and combinations are attained to gain accurate results this can also be perceived as the ability of computers to interpret and understand the given input which is through number plates, photographs, documents or can be in a handwritten format and to convert it in digital format as an output through screens.

scholarly journals Handwritten Text Recognition using Deep Learning with TensorFlow

2020 ◽  
Vol V9 (05) ◽  
Author(s):  
Sri. Yugandhar Manchala ◽  
Jayaram Kinthali ◽  
Kowshik Kotha ◽  
Kanithi Santosh Kumar, Jagilinki Jayalaxmi ◽  
Keyword(s):  
Deep Learning ◽  
Text Recognition ◽  
Handwritten Text ◽  
Handwritten Text Recognition

scholarly journals MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition

2021 ◽  
Author(s):  
Ayan Kumar Bhunia ◽  
Shuvozit Ghose ◽  
Amandeep Kumar ◽  
Pinaki Nath Chowdhury ◽  
Aneeshan Sain ◽  
...  
Keyword(s):  
Text Recognition ◽  
Handwritten Text ◽  
Handwritten Text Recognition
Sign in / Sign up

Export Citation Format

Share Document