| Titre : | Optical character recognition for doctor’s handwriting | | Type de document : | projet fin études | | Auteurs : | Hajar Benjahhar, Auteur | | Langues : | Français (fre) | | Catégories : | BIG DATA
| | Index. décimale : | mast 242/19 | | Résumé : | The aim of the project is to create a handwritten text recognition system based on Hidden
Markov Models for guessing prescribed medicines’ names. The input is a word image that
is processed and segmented. After these two crucial phases, patterns are extracted from the
image and taken as input for the training and recognition phase.
The project is an initiative to realize a handwritten text recognition system for scribing
prescriptions of patients, extracting the relevant information and stored in data warehouse
in order to do studies such as propagation of disease by regions. |
Optical character recognition for doctor’s handwriting [projet fin études] / Hajar Benjahhar, Auteur . - [s.d.]. Langues : Français ( fre) | Catégories : | BIG DATA
| | Index. décimale : | mast 242/19 | | Résumé : | The aim of the project is to create a handwritten text recognition system based on Hidden
Markov Models for guessing prescribed medicines’ names. The input is a word image that
is processed and segmented. After these two crucial phases, patterns are extracted from the
image and taken as input for the training and recognition phase.
The project is an initiative to realize a handwritten text recognition system for scribing
prescriptions of patients, extracting the relevant information and stored in data warehouse
in order to do studies such as propagation of disease by regions. |
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Optical character recognition for doctor’s handwriting / Hajar Benjahhar
