Performance evaluation and benchmarking of six-page segmentation algorithms

IEEE Transactions on Pattern Analysis and Machine Intelligence
Faisal ShafaitThomas M Breuel

Abstract

Informative benchmarks are crucial for optimizing the page segmentation step of an OCR system, frequently the performance limiting step for overall OCR system performance. We show that current evaluation scores are insufficient for diagnosing specific errors in page segmentation and fail to identify some classes of serious segmentation errors altogether. This paper introduces a vectorial score that is sensitive to, and identifies, the most important classes of segmentation errors (over-, under-, and mis-segmentation) and what page components (lines, blocks, etc.) are affected. Unlike previous schemes, our evaluation method has a canonical representation of ground truth data and guarantees pixel-accurate evaluation results for arbitrary region shapes. We present the results of evaluating widely used segmentation algorithms (x-y cut, smearing, whitespace analysis, constrained text-line finding, docstrum, and Voronoi) on the UW-III database and demonstrate that the new evaluation scheme permits the identification of several specific flaws in individual segmentation methods.

Citations

Feb 23, 2011·Skin Research and Technology : Official Journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)·H M MashalyAbdalla S A Mohamed
May 18, 2013·IEEE Transactions on Pattern Analysis and Machine Intelligence·Gaofeng MengChunhong Pan
Apr 11, 2009·IEEE Transactions on Pattern Analysis and Machine Intelligence·George NagyMahesh Viswanathan
Feb 19, 2011·IEEE Transactions on Pattern Analysis and Machine Intelligence·Faisal Shafait, Thomas M Breuel
Dec 30, 2010·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Eri Haneda, Charles A Bouman
Sep 8, 2011·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Hyung Il Koo, Nam Ik Cho
Sep 14, 2016·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society· Hyung Il Koo
Apr 6, 2019·Bioinformatics·Pengyuan LiHagit Shatkay

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