Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multistage Curvilinear Coordinate Transform Based Document Image
  Dewarping using a Novel Quality Estimator   The present work demonstrates a fast and improved technique for dewarping
nonlinearly warped document images. The images are first dewarped at the
page-level by estimating optimum inverse projections using curvilinear
homography. The quality of the process is then estimated by evaluating a set of
metrics related to the characteristics of the text lines and rectilinear
objects for measuring parallelism, orthogonality, etc. These are designed
specifically to estimate the quality of the dewarping process without the need
of any ground truth. If the quality is estimated to be unsatisfactory, the
page-level dewarping process is repeated with finer approximations. This is
followed by a line-level dewarping process that makes granular corrections to
the warps in individual text-lines. The methodology has been tested on the
CBDAR 2007 / IUPR 2011 document image dewarping dataset and is seen to yield
the best OCR accuracy in the shortest amount of time, till date. The usefulness
of the methodology has also been evaluated on the DocUNet 2018 dataset with
some minor tweaks, and is seen to produce comparable results.

10
The categories of this paper are: q-bio
28
The categories of this paper are: alg-geom
20
The categories of this paper are: acc-phys
31
The categories of this paper are: ao-sci
22
The categories of this paper are: chao-dyn
19
The categories of this paper are: eess
33
The categories of this paper are: plasm-ph
4
The categories of this paper are: cond-mat
12
The categories of this paper are: nucl-th
25
The categories of this paper are: patt-sol
15
The categories of this paper are: nucl-ex
23
The categories of this paper are: solv-int
21
The categories of this paper are: adap-org
8
The categories of this paper are: hep-ex
3
The categories of this paper are: physics
13
The categories of this paper are: quant-ph