Adaptive shape prior for recognition and variational segmentation of degraded historical characters

نویسندگان

  • Itay Bar Yosef
  • Alik Mokeichev
  • Klara Kedem
  • Its'hak Dinstein
  • Uri Ehrlich
چکیده

Article history: Received 16 August 2008 Accepted 15 October 2008

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

Sparse Template-Based variational Image Segmentation

We introduce a variational approach to image segmentation based on sparse coverings of image domains by shape templates. The objective function combines a data term that achieves robustness by tolerating overlapping templates with a regularizer enforcing sparsity. A suitable convex relaxation leads to the variational approach that is amenable to large-scale convex programming. Our approach take...

متن کامل

A Study of Touching Characters in Degraded Gurmukhi Text

Character segmentation is an important preprocessing step for text recognition. In degraded documents, existence of touching characters decreases recognition rate drastically, for any optical character recognition (OCR) system. In this paper a study of touching Gurmukhi characters is carried out and these characters have been divided into various categories after a careful analysis. Structural ...

متن کامل

Shape Priors and Online Appearance Learning for Variational Segmentation and Object Recognition in Static Scenes

We present an integrated two-level approach to computationally analyzing image sequences of static scenes by variational segmentation. At the top level, estimated models of object appearance and background are probabilistically fused to obtain an a-posteriori probability for the occupancy of each pixel. The data-association strategy handles object occlusions explicitly. At the lower level, obje...

متن کامل

Adaptive shape prior in graph cut image segmentation

This paper presents a novel method to apply shape priors adaptively in graph cut image segmentation. By incorporating shape priors adaptively, we provide a flexible way to impose the shape priors selectively at pixels where image labels are difficult to determine during the graph cut segmentation. This is in contrast to the use of shape priors indiscriminatively at all pixels in existing image ...

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

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:
  • Pattern Recognition

دوره 42  شماره 

صفحات  -

تاریخ انتشار 2009