ICDAR2015 competition on Multi-script Writer Identification and Gender Classification using ‘QUWI’ Database

This competition targets writer identification and gender classification from offline handwritten documents using the QUWI database. The most interesting aspect of the competition is the use of a dataset with writing samples of the same individual in Arabic as well as English. The competition not only allows an objective comparison of different systems but also permits to investigate the performance of traditional script-dependent systems in a multi-script experimental setup. This paper describes the competition details including the competition tasks, the database employed, the methods used by the participating systems, evaluation and ranking criteria and the overall rankings of the participants. The competition received a total of 13 submissions from 8 different institutions. Writer identification tasks received 5 while the gender classification tasks received 8 submissions.

[1]  Somaya Al-Máadeed,et al.  QUWI: An Arabic and English Handwriting Dataset for Offline Writer Identification , 2012, 2012 International Conference on Frontiers in Handwriting Recognition.

[2]  Hassiba Nemmour,et al.  Local descriptors to improve off-line handwriting-based gender prediction , 2014, 2014 6th International Conference of Soft Computing and Pattern Recognition (SoCPaR).

[3]  Volker Märgner,et al.  ICFHR2014 Competition on Arabic Writer Identification Using AHTID/MW and KHATT Databases , 2014, 2014 14th International Conference on Frontiers in Handwriting Recognition.

[4]  Elli Angelopoulou,et al.  Writer identification using VLAD encoded contour-Zernike moments , 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

[5]  Labiba Souici-Meslati,et al.  Text-independent writer recognition using multi-script handwritten texts , 2013, Pattern Recognit. Lett..

[6]  A. Papandreou,et al.  ICDAR 2013 Competition on Writer Identification , 2013, 2013 12th International Conference on Document Analysis and Recognition.

[7]  Nicole Vincent,et al.  Text independent writer recognition using redundant writing patterns with contour-based orientation and curvature features , 2010, Pattern Recognit..

[8]  Lambert Schomaker,et al.  Text-Independent Writer Identification and Verification Using Textural and Allographic Features , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Ahmed Bouridane,et al.  A Set of Geometrical Features for Writer Identification , 2012, ICONIP.

[10]  Ahmed Bouridane,et al.  Using codebooks generated from text skeletonization for forensic writer identification , 2014, 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA).

[11]  Abdelaali Hassaine,et al.  Automatic prediction of age, gender, and nationality in offline handwriting , 2014 .

[12]  Labiba Souici-Meslati,et al.  Automatic analysis of handwriting for gender classification , 2014, Pattern Analysis and Applications.