• Parmita
• Dr. Reecha Sharma

A grey scale image is converted into black and white image through the binarization method. Binarization is a major factor on which the result of OCR depends. Within character recognition, higher accuracy is achieved by high quality binarized image in comparison to the original image which includes noise in it. Finding out an appropriate binarization algorithm for all the images is the major concern. Since there is huge difference in the performance of various binarization algorithms on different data sets, it is very difficult to choose the most optimal binarization algorithm. In this research work, the technique of genetic algorithm is applied which define the threshold value for the image binarization. The proposed algorithm is implemented in MATLAB and results are analyzed in terms of PSNR, MSE and Thinning rate. It is analyzed that proposed algorithm performs well in terms of all parameters.

Image Binarization, Gray Scale, Erosion, Dilation, Genetic algorithm

"Novel Approach for Image Binarization Using Genetic Algorithm ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.845-849, August-2018, Available :http://www.jetir.org/papers/JETIR1808877.pdf

"Novel Approach for Image Binarization Using Genetic Algorithm ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp845-849, August-2018, Available at : http://www.jetir.org/papers/JETIR1808877.pdf