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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.
About the author
El profesor Vijay Kumar Sinha se doctoró en Ciencias e Ingeniería Informática en la IKGPTU de Kapurthala. Obtuvo un máster de la Universidad Profesional de Lovely en CSE y un segundo máster en TI de la Universidad de Punjabi, Patiala (India). Está trabajando como profesor en el Chandigarh Engineering College, Landran, Mohali (Punjab) India.
