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All Projects → ikergarcia1996 → Handwritten-Names-Recognition

ikergarcia1996 / Handwritten-Names-Recognition

Licence: MIT license
The goal of this project is to solve the task of name transcription from handwriting images implementing a NN approach.

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Jupyter Notebook
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java
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Labels

ocrneural-networksrestricted-boltzmann-machinecharacter-recognitionprincipal-component-analysisneuralnetworkhandwriting-recognitionmultilayer-perceptron-networkhandwritten-text-recognitionhistogram-of-oriented-gradientshandwritten-character-recognition

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Handwritten Names Recognition

A program that solves the task of name transcription from handwriting images implementing a NN approach for Machine Learning and Neural Networks (MLNN) course.

Objetive

Authors

Iker García Ferrero - ikergarcia1996
Eritz Yerga Gutierrez - eritzyg

Dataset

For this project we used the Transcriptions of names from handwriting dataset from Data for Everyone.

How to run

To run this project you need Python and Jupyter Notebook. Also you will need to install all the python libraries specified in the "README.md" inside the "Notebook" folder.

Documentation

Documentation is available in the releases section with the corresponding release.

Process for recognition

You can find a detailed explanation of this process in the documentation. Process

Results

Pre downloaded dataset and Pre trained classifiers

To facilitate the usage of the program, a database with 10000 images and the pre trained classifiers are included. The documentation explains how to load them or how to generate new ones.

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