dc.date.accessioned | 2019-01-29T22:19:55Z | |
dc.date.accessioned | 2023-05-30T23:27:49Z | |
dc.date.available | 2019-01-29T22:19:55Z | |
dc.date.available | 2023-05-30T23:27:49Z | |
dc.date.created | 2019-01-29T22:19:55Z | |
dc.date.issued | 2012 | |
dc.identifier | urn:isbn:9783642346538 | |
dc.identifier | 3029743 | |
dc.identifier | http://repositorio.ucsp.edu.pe/handle/UCSP/15889 | |
dc.identifier | https://doi.org/10.1007/978-3-642-34654-5_22 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/6477701 | |
dc.description.abstract | Over the last years, the interest in preserving digitally ancient documents has increased resulting in databases with a huge amount of image data. Most of these documents are not transcribed and thus querying operations are limited to basic searching. We propose a novel approach for transcribing historical documents and present results of our initial experiments. Our method divides a text-line image into frames and constructs a graph using the framed image. Then Dijkstra algorithm is applied to find the line transcription. Experiments show a character accuracy of 79.3%. © Springer-Verlag Berlin Heidelberg 2012. | |
dc.language | eng | |
dc.publisher | Springer Verlag | |
dc.relation | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906665587&doi=10.1007%2f978-3-642-34654-5_22&partnerID=40&md5=b77dd42f2a22019e94bffbafc7f2c212 | |
dc.rights | info:eu-repo/semantics/restrictedAccess | |
dc.source | Repositorio Institucional - UCSP | |
dc.source | Universidad Católica San Pablo | |
dc.source | Scopus | |
dc.subject | Artificial intelligence | |
dc.subject | Experiments | |
dc.subject | Graph theory | |
dc.subject | Support vector machines | |
dc.subject | Ancient documents | |
dc.subject | Dijkstra algorithms | |
dc.subject | Graph-based | |
dc.subject | Handwriting recognition | |
dc.subject | Historical documents | |
dc.subject | Image data | |
dc.subject | Shortest path algorithms | |
dc.subject | Transcription | |
dc.title | A graph-based approach for transcribing ancient documents | |
dc.type | info:eu-repo/semantics/article | |