Disadvantages Of Handwritten Character Recognition

CHAPTER 1

INTRODUCTION

Since the computers have evolved, lot of research has been carried in the area of Computer and Human interface. In this Era of advanced technology, there is greater need for conversion of analog into digital. With the advent of digital scanners and after the computer came into the scene, we have witnessed huge demand to convert books and text into digital media, viewable over the internet and on a computer [1]. It is a complex task to input data characters for scripts like Devanagari and Gurmukhi because they have a complex writing style. So the best possible methods to input such characters are via Hand-written documents and Speech. Speech Recognition has some disadvantages. So the main focus of this research is Recognition of Handwritten Characters. This is where Handwritten Character Recognition comes in handy. Handwritten Character Recognition

Handwritten Character Recognition usually abbreviated as HCR is the electronic conversion of scanned or photographed images of handwritten text into computer-readable text. It is widely used as a form of data entry from some sort of original paper data source such as passport documents, bank statement, receipts, business cards, mail or any sort of printed records[1]. It is a common method of digitizing handwritten texts so that they can be edited digitally, searched easily, stored more compactly, displayed on-line and used in machine processes such as translation, text-to-speech, key data extraction and