Document Line Segmentation Based on Wavelet Transform

نویسنده

  • Lasko LASKOV
چکیده

In this paper a novel approach to document lines segmentation is presented. The algorithm is based on wavelet transform of the horizontal projective profile of the document image. The projective profile is examined as a one-dimensional signal which is decomposed using the pyramidal wavelet algorithm up to a precise level, where local minima and maxima are discovered. These local extrema, projected into the input signal, correspond to the blank spaces between document lines and to the pivots of the lines. The method is tested to a broad set of printed and handwritten documents and has proved to be stable and efficient.

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

Application of Wavelet Decomposition to Document Line Segmentation

In this paper an approach to document line segmentation is presented. The algorithm is based on a wavelet transform of the horizontal projective profile of the document image. The projective profile is examined as a one-dimensional discrete signal which is decomposed using the pyramidal wavelet algorithm up to a precise scale, where local minima and maxima are discovered. These local extrema, p...

متن کامل

An Adaptive Segmentation Method Using Fractal Dimension and Wavelet Transform

In analyzing a signal, especially a non-stationary signal, it is often necessary the desired signal to be segmented into small epochs. Segmentation can be performed by splitting the signal at time instances where signal amplitude or frequency change. In this paper, the signal is initially decomposed into signals with different frequency bands using wavelet transform. Then, fractal dimension of ...

متن کامل

An Adaptive Segmentation Method Using Fractal Dimension and Wavelet Transform

In analyzing a signal, especially a non-stationary signal, it is often necessary the desired signal to be segmented into small epochs. Segmentation can be performed by splitting the signal at time instances where signal amplitude or frequency change. In this paper, the signal is initially decomposed into signals with different frequency bands using wavelet transform. Then, fractal dimension of ...

متن کامل

Adaptive Segmentation with Optimal Window Length Scheme using Fractal Dimension and Wavelet Transform

In many signal processing applications, such as EEG analysis, the non-stationary signal is often required to be segmented into small epochs. This is accomplished by drawing the boundaries of signal at time instances where its statistical characteristics, such as amplitude and/or frequency, change. In the proposed method, the original signal is initially decomposed into signals with different fr...

متن کامل

Efficient transform coding of IR line-scan images based on spatial adaptivity

Based on our systematic studies of IRLS (InfraRed Line-Scanner) image statistical properties and comparative analyzes of state-of-the-art transform based image coders, we propose coding performance improvements by spatial image segmentation and operational rate-distortion optimization. We present in this paper, a new approach for an adaptive coding of IRLS images which combines the advantages o...

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 2011