Hand written Alphanumeric Recognition

Document Type : Primary Research paper


1 AssistantProfessor, DepartmentofComputerScienceandEngineering,LakireddyBaliReddyCollegeofEngineering(Autonomous),Mylavaram,KrishnaDt, AP, India,521230

2 UGStudents,DepartmentofComputerScienceandEngineering,LakireddyBaliReddyCollegeofEngineering(Autonomous),Mylavaram,KrishnaDt, AP, India,521230


One way that developers are enabling machines to become more intelligent is by diving into machine learning and deep learning techniques. The process of learning how to perform a task is best described as "repeating it again and again in order to make it solid in your memory." It is the ability to read the handwritten alphanumeric characters either digit or alphabet, without human assistance. Handwritten characters can be made in many different ways, and that makes it difficult for the machine to decipher them. This application, which utilises both written and image data, helps solve this problem because it allows us to use handwritten alphanumeric characters and alphabet characters both together and for recognising data in images. We follow specific steps in order to build this handwritten alphanumeric recognition. By using deep learning algorithms such as CNN, RNN, we plan to implement face recognition to identify data written.