Nothing Special   »   [go: up one dir, main page]

×
Please click here if you are not redirected within a few seconds.
The goal is to find a collection of parameters (r, θ, d) for each text-line in the document image that maximizes the number of bound- ing boxes matching the ...
In this paper, we propose a one-step skew and orientation detection method using a well-established geometric text-line model. The advantage of our method is ...
Jan 16, 2010 · In this paper, we propose a one-step skew and orientation detection method using a well-established geometric text-line model. The advantage of ...
Abstract In large scale document digitization, orien- tation detection plays an important role, especially in the scenario of digitizing incoming mail.
This paper proposes a one-step skew and orientation detection method using a well-established geometric text-line model that incorporates orientation ...
In this paper, we propose a one-step skew and orientation detection method using a well-established geometric text-line model.
The ocrorot library estimates both page rotation and page skew using deep learning. The models for doing this actually end up being rather different.
This paper introduces a generic, scale-independent algorithm capable of accurately detecting the global skew angle of document images within the range [-90 ...
Combined orientation and skew detection using geometric text-line modeling. Joost van Beusekom; Faisal Shafait; Thomas M. Breuel. Original Paper 16 January 2010 ...
Combined orientation and skew detection using geometric text-line modeling · A Document Skew Detection Method Using the Hough Transform · Adnan Amin. 2000 ...