Convolutional Neural Networks for Off-Line Writer Identification Based on Simple Graphemes

[1]  Réjean Plamondon,et al.  Automatic signature verification and writer identification - the state of the art , 1989, Pattern Recognit..

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

[3]  Veronica Aubin,et al.  A new descriptor for person identity verification based on handwritten strokes off-line analysis , 2017, Expert Syst. Appl..

[4]  Marco Mora,et al.  Off-line writer verification based on simple graphemes , 2018, Pattern Recognit..

[5]  Luiz Eduardo Soares de Oliveira,et al.  Writer verification using texture-based features , 2011, International Journal on Document Analysis and Recognition (IJDAR).

[6]  Horst Bunke,et al.  The IAM-database: an English sentence database for offline handwriting recognition , 2002, International Journal on Document Analysis and Recognition.

[7]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[8]  Lambert Schomaker,et al.  Deep Adaptive Learning for Writer Identification based on Single Handwritten Word Images , 2018, Pattern Recognit..

[9]  Malay Kishore Dutta,et al.  Writer identification approach by holistic graphometric features using off-line handwritten words , 2018, Neural Computing and Applications.

[10]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[11]  Yoshua Bengio,et al.  Gradient-based learning applied to document recognition , 1998, Proc. IEEE.

[12]  Andreas K. Maier,et al.  Writer Identification Using GMM Supervectors and Exemplar-SVMs , 2017, Pattern Recognit..

[13]  Michael S. Bernstein,et al.  ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.