978-613-9-99926-2

Enhancement of Degraded Text Images & Performance Comparison

A Research work on quality Enhancement of Poor Degraded Images

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Summary:

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.

Author:

Vijay Kumar Sinha

Biographie:

Prof. Vijay Kumar Sinha received his Ph.D. from IKGPTU, Kapurthala in Computer Science & Engineering. He received M.Tech. degree from Lovely Professional University in CSE, M.Tech.(IT) from Punjabi University, Patiala & B.Tech. (CSE) from Thapar University, Patiala. He is serving as Professor at Chandigarh Engineering College, Landran, Mohali.

Author:

Karun Verma

Biographie:

Number of Pages:

68

Book language:

English

Published On:

2019-01-16

ISBN:

978-613-9-99926-2

Publishing House:

LAP LAMBERT Academic Publishing

Keywords:

thresholding, segmentation, Clustering, histogram, Edge Detection, Watershed transformation, Otsu Algorithm, Bi Level Algorithm, Mean Algorithm

Product category:

COMPUTERS / General