Handwriting Recognition System- A Review

نویسندگان

  • Pooja Yadav
  • Nidhika Yadav
  • Kai Ding
  • Zhibin Liu
  • Lianwen Jin
  • Xinghua Zhu
  • F. M Kimura
  • M. Shridhar
چکیده

Handwriting recognition has been an active and challenging area of research. Handwriting recognition system plays a very important role in today's world. Handwriting recognition is very popular and computationally expensive work. At present time it is very difficult to find correct meaning of handwritten documents. There are many areas where we need to recognize the words, alphabets and digit. There are many application postal addresses, bank cheque where we need to recognize handwriting. This review paper will focus on different technique which is used on handwriting recognition. There are basically two different types of handwriting recognition system online and offline handwriting recognition. There are many approaches are present for offline handwriting recognition system. This review paper will represent the limitations and superiorities of different technique which is used for handwriting recognition system. So handwriting recognition has been studied from many decades. Handwriting recognition system can be used to solve many complex problems and can make human's work easy. So this paper is an overview of different approaches of handwriting recognition system with their limitations and accuracy rate.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Isolated Persian/Arabic handwriting characters: Derivative projection profile features, implemented on GPUs

For many years, researchers have studied high accuracy methods for recognizing the handwriting and achieved many significant improvements. However, an issue that has rarely been studied is the speed of these methods. Considering the computer hardware limitations, it is necessary for these methods to run in high speed. One of the methods to increase the processing speed is to use the computer pa...

متن کامل

Off-line Arabic Handwritten Recognition Using a Novel Hybrid HMM-DNN Model

In order to facilitate the entry of data into the computer and its digitalization, automatic recognition of printed texts and manuscripts is one of the considerable aid to many applications. Research on automatic document recognition started decades ago with the recognition of isolated digits and letters, and today, due to advancements in machine learning methods, efforts are being made to iden...

متن کامل

Online Handwritten Gurmukhi Character Recognition

Computers are greatly influencing the lives of human beings and their usage is increasing at a tremendous rate. The ease with which we can exchange information between user and computer is of immense importance today because input devices such as keyboard and mouse have limitations vis-à-vis input through natural handwriting. We can use the online handwriting recognition process for a quick and...

متن کامل

Fusion of Segmentation Strategies for Off-Line Cursive Handwriting Recognition

Cursive handwriting recognition is a challenging task for many real-world applications such as document authentication, form processing, postal address recognition, reading machines for the blind, bank check recognition, and interpretation of historical documents. Therefore, in the last few decades, researchers have put an enormous effort into developing various techniques for handwriting recog...

متن کامل

Recent Achievements in Off-line Handwriting Recognition Systems

This paper reviews the current state of the art in handwriting recognition research. The paper deals with issues such as hand-printed character and cursive handwritten word recognition. It describes recent achievements, difficulties, successes and challenges in all aspects of handwriting recognition. It also presents a new approach which dramatically improves current handwriting recognition sys...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015