Results of the ICDAR 2015 Robust Reading Competition are presented. A new Challenge 4
on Incidental Scene Text has been added to the Challenges on Born-Digital Images, …

In this paper, we propose a novel technique to segment handwritten document images into
text lines by shredding their surface with local minima tracers. Our approach is based on the …

Global pooling layers are an essential part of Convolutional Neural Networks (CNN). They
are used to aggregate activations of spatial locations to produce a fixed-size vector in several …

This paper focuses on the problem of script identification in scene text images. Facing this
problem with state of the art CNN classifiers is not straightforward, as they fail to address a key …

Sampling Local Binary Patterns, a variant of Local Binary Patterns (LBP) for text-as-texture
classification. By adapting and extending the standard LBP operator to the particularities of …

Dermatofibrosarcoma protuberans (DFSP) is a rare cutaneous neoplasm associated with a
high cure rate. We present a case of aggressive DFSP with fibrosarcomatous areas in the …

Background Extranodal lymphomas limited to the larynx are rare, accounting for less than 1%
of all laryngeal neoplasms. The aim of this study was to report the experience of our …

Background Pure endoscopic surgery (functional endoscopic sinus surgery) has been
increasingly replacing external approaches in the management of sinonasal inverted papillomas. …

We propose the use of fractals as mean of efficient data augmentation. Specifically, we employ
plasma fractals as a means of adapting global image augmentation transformations into …

This competition investigates the performance of large-scale retrieval of historical document
images based on writing style. Based on large image data sets provided by cultural heritage …