A fast orientation and skew detection algorithm for monochromatic document images
Proceedings of the 2005 ACM symposium on Document engineering
Performance Evaluation and Benchmarking of Six-Page Segmentation Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Two-Step Dewarping of Camera Document Images
DAS '08 Proceedings of the 2008 The Eighth IAPR International Workshop on Document Analysis Systems
Segmentation of Curled Textlines Using Active Contours
DAS '08 Proceedings of the 2008 The Eighth IAPR International Workshop on Document Analysis Systems
Ridges Based Curled Textline Region Detection from Grayscale Camera-Captured Document Images
CAIP '09 Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns
Coupled Snakelet Model for Curled Textline Segmentation of Camera-Captured Document Images
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Textline information extraction from grayscale camera-captured document images
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Correcting book binding distortion in scanned documents
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part II
A new algorithm for segmenting warped text-lines in document images
Proceedings of the 2011 ACM Symposium on Applied Computing
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Bound documents either scanned or captured with digital cameras often present a geometrical warp that makes text-lines curled. The identification of text-lines is one of the steps for document de-warping when only a single image is available. This paper presents a new method for text-line segmentation. It is based on a simple, but effective, skew detector proposed by Ávila-Lins and simplifies the idea of coupled snakes introduced by Bukhari to a moving parallel line regression. The proposed method performed better than the best of the similar algorithms in the literature.