A Review of Character Segmentation Methods

نویسندگان

  • Chirag Patel
  • Atul Patel
  • Dipti Shah
چکیده

Image to text conversion is the vital area of research for many years. Mainly, Optical Character Recognition (OCR) in use to extract characters from the image. Character segmentation is a preprocessing step for an OCR. In this paper, we have discussed different character segment methods used in various domains. Some of the methods are used for handwritten character recognition and some of the methods are for vehicle Number Plate (NP) detection. The major focus of this research is to identify the approaches that can be useful in the vehicle NP detection. After analyzing the existing character segmentation methods, the favored methods for NP detection are discussed in the conclusion section. The paper is concluded by suggesting the future scope of research in this research area.

برای دانلود رایگان 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

A Modified Character Segmentation Algorithm for Farsi Printed Text Using Upper Contour Labelling

In this paper, a modified segmentation algorithm for printed Farsi words is presented. This algorithm is based on a previous work by Azmi that uses the conditional labeling of the upper contour to find the segmentation points. The main objective is to improve the segmentation results for low quality prints. To achieve this, various modifications on local baseline detection, contour labeling an...

متن کامل

A Modified Character Segmentation Algorithm for Farsi Printed Text Using Upper Contour Labelling

In this paper, a modified segmentation algorithm for printed Farsi words is presented. This algorithm is based on a previous work by Azmi that uses the conditional labeling of the upper contour to find the segmentation points. The main objective is to improve the segmentation results for low quality prints. To achieve this, various modifications on local baseline detection, contour labeling an...

متن کامل

Handwritten Character Recognition using Modified Gradient Descent Technique of Neural Networks and Representation of Conjugate Descent for Training Patterns

The purpose of this study is to analyze the performance of Back propagation algorithm with changing training patterns and the second momentum term in feed forward neural networks. This analysis is conducted on 250 different words of three small letters from the English alphabet. These words are presented to two vertical segmentation programs which are designed in MATLAB and based on portions (1...

متن کامل

Review: A Literature Survey on Text Segmentation in Handwritten Punjabi Documents

Gurumukhi script is used for Punjabi language, which is a two dimensional composition of symbols with connected and disconnected diacritics. Handwritten Gurumukhi script has some complexities like connected, overlapped text lines, words and characters. It is one of the foremost issues for errors during the recognition process. Text segmentation is a challenging job in unconstrained writer indep...

متن کامل

Segmentation of Arabic Characters: A Comprehensive Survey

The cursive nature of Arabic writing is the main challenge to Arabic Optical Character Recognition developer. Methods to segment Arabic words into characters have been proposed. This paper provides a comprehensive review of the methods proposed by researchers to segment Arabic characters. The segmentation methods are categorized into nine different methods based on techniques used. The advantag...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013