… for writer identification by activation features of CNNs. These local descriptors are used by
GMM super-vector encoding method to create a global descriptor. Finally, the encoded global …

… steps: feature extraction and encoding, where CNNs are pre-… second step while training the
encoder, which reduces the … -to-end network for writer identification, where the CNN-based …

… The activation features were utilized as local features by encoding with VLAD. They conducted
… KHATT data-set using Exemplar SVM and VLAD encoding schemes. They achieved the …

… with the help of various coding schemes accompanied by a … Rectified Linear Unit (ReLU)
is an activation function used to … convolution layer is passed through the activation function. …

… Another key issue of CNN-HMM for HCTR is the diversified writing style, which leads to …
decline for specific writers. To address these issues, we propose a writer-aware CNN based on …

… handwriting patterns for writer identification. From the application point of view, one of the main
benefits of handwriting based writer identification … image, the activation functions of one of …

… three lines using the oBIF features with delta encoding. Adak and Chaudhuri [43] propose a
… Therefore, we use the sigmoid activation function instead of softmax on the last layer of the …

… -end classification by CNN, we also extract activations from the trained model and encode
them … performance on the three datasets using VLAD encoding in Table 5. In addition to Top-1 …

… ) is used for writer identification for the Arabic language. In [18], each writer is encoded by the
root … In [28], the authors employed a CNN network for learning local activation features. The …

… about CNN design for handwriting recognition tasks. How is … The activation function
used in the present work is the non-… A system for offline character recognition using auto-encoder …