Aim: Recognition of Captcha to find the best accuracy of the text-based captcha by using the Algorithms in Machine Learning. The two algorithms are the k-means algorithm and the Innovative Support Vector Machine (SVM). Materials and Methods: The dataset is collected from www.kaggle.com. And the Two groups are k-means (N=10) and Novel Support Vector Machine (N=10 by using G-power and minimum power of the analysis is fixed as 80% and maximum accepted error is fixed as 0.5 with threshold value as 0.0805% and Confidence Interval is 95%. Results: The Support Vector Machine is used to recognize the text-based captcha. The accuracy found for the improved captcha for Support vector machine is 99.98% and for the k-means is 90.73%. The two algorithms are used to find the improved classification or complexity of the captcha. The significant value obtained is p=0.003 (p<0.05) i.e α=0.05 and hence, there exists a statistically significant difference between the two groups with a confidence level of 95%. Conclusion: Recognizing the captcha Recognition significantly seems to be better in Innovative Support vector machines than k-means.