New performance evaluation models for character detection in images

YanWei Wang; XiaoQing Ding; ChangSong Liu; Kongqiao Wang

doi:10.1117/12.840119

10 February 2010 New performance evaluation models for character detection in images

YanWei Wang, XiaoQing Ding, ChangSong Liu, Kongqiao Wang

Proceedings Volume 7540, Imaging and Printing in a Web 2.0 World; and Multimedia Content Access: Algorithms and Systems IV; 754006 (2010) https://doi.org/10.1117/12.840119
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

Abstract

Detection of characters regions is a meaningful research work for both highlighting region of interest and recognition for further information processing. A lot of researches have been performed on character localization and extraction and this leads to the great needs of performance evaluation scheme to inspect detection algorithms. In this paper, two probability models are established to accomplish evaluation tasks for different applications respectively. For highlighting region of interest, a Gaussian probability model, which simulates the property of a low-pass Gaussian filter of human vision system (HVS), was constructed to allocate different weights to different character parts. It reveals the greatest potential to describe the performance of detectors, especially, when the result detected is an incomplete character, where other methods cannot effectively work. For the recognition destination, we also introduced a weighted probability model to give an appropriate description for the contribution of detection results to final recognition results. The validity of performance evaluation models proposed in this paper are proved by experiments on web images and natural scene images. These models proposed in this paper may also be able to be applied in evaluating algorithms of locating other objects, like face detection and more wide experiments need to be done to examine the assumption.

Citation Download Citation

YanWei Wang, XiaoQing Ding, ChangSong Liu, and Kongqiao Wang "New performance evaluation models for character detection in images", Proc. SPIE 7540, Imaging and Printing in a Web 2.0 World; and Multimedia Content Access: Algorithms and Systems IV, 754006 (10 February 2010); https://doi.org/10.1117/12.840119

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KEYWORDS

Detection and tracking algorithms

Performance modeling

Image segmentation

Visual process modeling

Optical character recognition

Data processing

Gaussian filters

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