Atnaujintas knygų su minimaliais defektais pasiūlymas! Naršykite ČIA >>
Text recognition from distorted or degraded images especially handwritten is a challenge in computing . The present research work on ¿Enhancement Of Degraded Text Images & Performance Comparison", is an excellent effort to enhance the degraded text images caused by poor scanning, historical papers, and other causes. This study will propose a technique for the enhancement of such a degraded text document images to improve their display quality characteristics by using thresh hold values as well as a comparison of performance among them. Images believed to be representative of the same symbol which occurs in different positions over an image source are clustered together. Using the symbols within a particular cluster, an average character image outline for that cluster of symbols is derived and thereafter used to refine the matching of symbols within the cluster and to determine a final representative symbol for that cluster. Thus the partially visible or distorted text can be recognized. The work will definitely prove a helping hand to young researchers for developing new ideas and algorithms to resolve the practical problems of text image degradation and their recovery.
| Autorius: | Vijay Kumar Sinha, Karun Verma, |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2019 |
| Knygos puslapių skaičius: | 68 |
| ISBN-10: | 613999926X |
| ISBN-13: | 9786139999262 |
| Formatas: | 220 x 150 x 5 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Enhancement of Degraded Text Images & Performance Comparison: A Research work on quality Enhancement of Poor Degraded Images“
