• DIGVIJAY PANDEY
• BINAY KUMAR PANDEY
• Dr. Subodh Wariya

This paper presents an approach to the text detection of degraded complex images like News-papers, blogs, and web-pages. A degraded complex image like means image was affected by a different type of noise like salt and pepper noise, random valued impulse noise, speckle noise, and Gaussian noise, etc. There an extremely large demand for storing the text from complex degraded images into a computer-readable form for future use. The image is consists of black as foreground and white as background. Binarization is one of the methods used for the separation of pixel values in Image. Thresholding is a perfectly-known technique used for binarization of degraded document images. Thresholding is dividing into the three types global, local and hybrid thresholding technique. The hybrid thresholding technique is a combination of global and local techniques. In a document with noise document, global thresholding is failed while shows the best result for uniform contrast image. In this case, local and hybrid thresholding has good techniques over available techniques. Keywords: Text detection, Filters, Binarization, Thresholding, binary images, Brownian Noise (Fractal Noise) Rayleigh Noise, Gamma Noise, Poisson-Gaussian Noise,salt and pepper noise, random valued impulse noise, speckle noise ,Gaussian noise and Structured Noise.

"Study of various types noise and text extraction algorithms for degraded complex Image", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.234-246, June 2019, Available :http://www.jetir.org/papers/JETIR1907B94.pdf

"Study of various types noise and text extraction algorithms for degraded complex Image", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp234-246, June 2019, Available at : http://www.jetir.org/papers/JETIR1907B94.pdf