Manuscript document digitalization and recognition: a first approach
The handwritten manuscript recognizing process belongs to a set of initiatives which lean to the preservation of cultural patrimony gathered in libraries and archives, where there exist a great wealth in documents and even handwritten cards that accompany incunabula books. This work is the starting...
Guardado en:
| Autores principales: | , , |
|---|---|
| Formato: | Articulo |
| Lenguaje: | Inglés |
| Publicado: |
2005
|
| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/5521 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct05-7.pdf |
| Aporte de: |
| id |
I19-R120-10915-5521 |
|---|---|
| record_format |
dspace |
| institution |
Universidad Nacional de La Plata |
| institution_str |
I-19 |
| repository_str |
R-120 |
| collection |
SEDICI (UNLP) |
| language |
Inglés |
| topic |
Ciencias Informáticas Image processing software digitalización conservación patrimonial |
| spellingShingle |
Ciencias Informáticas Image processing software digitalización conservación patrimonial De Giusti, Marisa Raquel Vila, María Marta Villarreal, Gonzalo Luján Manuscript document digitalization and recognition: a first approach |
| topic_facet |
Ciencias Informáticas Image processing software digitalización conservación patrimonial |
| description |
The handwritten manuscript recognizing process belongs to a set of initiatives which lean to the preservation of cultural patrimony gathered in libraries and archives, where there exist a great wealth in documents and even handwritten cards that accompany incunabula books. This work is the starting point of a research and development project oriented to digitalization and recognition of manuscript materials. The paper presented here discuss different algorithms used in the first stage dedicated to "image noise-cleaning" in order to improve it before the character recognition process begins. In order to make the handwritten-text recognition and image digitalization process efficient, it must be preceded by a preprocessing stage of the image to be treated, which includes thresholding, noise cleaning, thinning, base-line alignment and image segmentation, among others. Each of these steps will allow us to reduce the injurious variability when recognizing manuscripts (noise, random gray levels, slanted characters, ink level in different zones), and so increasing the probability of obtaining a suitable text recognition. In this paper, two image thinning methods are considered, and implemented. Finally, an evaluation is carried out obtaining many conclusions related to efficiency, speed and requirements, as well as ideas for future implementations. |
| format |
Articulo Articulo |
| author |
De Giusti, Marisa Raquel Vila, María Marta Villarreal, Gonzalo Luján |
| author_facet |
De Giusti, Marisa Raquel Vila, María Marta Villarreal, Gonzalo Luján |
| author_sort |
De Giusti, Marisa Raquel |
| title |
Manuscript document digitalization and recognition: a first approach |
| title_short |
Manuscript document digitalization and recognition: a first approach |
| title_full |
Manuscript document digitalization and recognition: a first approach |
| title_fullStr |
Manuscript document digitalization and recognition: a first approach |
| title_full_unstemmed |
Manuscript document digitalization and recognition: a first approach |
| title_sort |
manuscript document digitalization and recognition: a first approach |
| publishDate |
2005 |
| url |
http://sedici.unlp.edu.ar/handle/10915/5521 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct05-7.pdf |
| work_keys_str_mv |
AT degiustimarisaraquel manuscriptdocumentdigitalizationandrecognitionafirstapproach AT vilamariamarta manuscriptdocumentdigitalizationandrecognitionafirstapproach AT villarrealgonzalolujan manuscriptdocumentdigitalizationandrecognitionafirstapproach |
| bdutipo_str |
Repositorios |
| _version_ |
1764820476730802178 |