
JIHAD EL SANA
Senior Academic
Case Study
Fine Writing Style Classification Using Siamese Neural Network
This paper presents an automatic system for dividing a manuscript into similar parts, according to their similarity in writing style. This system is based on Siamese neural network, which consists of two identical sub-networks joined at their outputs. In the training the two sub-networks extract features from two patches, while the joining neuron measures the distance between the two feature vectors. Patches from the same page are considered as identical and patches from different books are considered as different. Based on that, the Siamese network computes the distances between patches of the same book.
| Publication language | English |
| Pages | 62-66 |
| Publication status | Published - 02.10.2018 |
| 8480212 |
Keywords
Deep-learning
Siamese-network
Supervised-learning
Writer-identification
Writing-style
ASJC Scopus subject areas
Signal Processing
Linguistics and Language
Computer Vision and Pattern Recognition