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 Random Forest algorithm and the Novel Support Vector Machine (SVM). Materials and Methods: The dataset is collected from www.kaggle.com. And the Two groups are Random Forest (N=10) and 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 Novel Support Vector Machine is used to recognize the text-based captcha. The accuracy found for the improved captcha is 99.98% and for the Random Forest is 98.93%. The two algorithms are used to find the improved classification or complexity of the captcha. The significant value obtained is p=0.004 (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 Novel Support vector machines than Random Forest