We describe CITlab’s recognition system for the HTRtS competition attached to the 14. International Conference on Frontiers in Handwriting Recognition, ICFHR 2014. The task comprises the recognition of historical handwritten documents. The core algorithms of our system are based on multidimensional recurrent neural networks (MDRNN) and connectionist temporal classification (CTC). The software m...

We describe CITlab’s recognition system for the ANWRESH-2014 competition attached to the 14. International Conference on Frontiers in Handwriting Recognition, ICFHR 2014. The task comprises word recognition from segmented historical documents. The core components of our system are based on multi-dimensional recurrent neural networks (MDRNN) and connectionist temporal classification (CTC). The s...

In this paper, an efficient approach for the recognition of online Arabic handwritten characters is presented. The method employed involves three phases: First, pre-processing in which the original image is transformed into a binary image .Second , training neural networks with feed-forward back propagation algorithm .Finally, the recognition of the character through the use of Neural Network t...

Computational linguistics is the branch of in which techniques computer science are applied to analysis and synthesis language speech. The main goals computational include: Text-to- speech conversion, Speech-to-text conversion Translating from one another. A part Linguistics Character recognition. recognition has been active challenging research areas field image processing pattern methodology ...

We describe CITlab’s recognition system for the HTRtS competition attached to the 14. International Conference on Frontiers in Handwriting Recognition, ICFHR 2014. The task comprises the recognition of historical handwritten documents. The core algorithms of our system are based on multidimensional recurrent neural networks (MDRNN) and connectionist temporal classification (CTC). The software m...

We describe CITlab’s recognition system for the ANWRESH-2014 competition attached to the 14. International Conference on Frontiers in Handwriting Recognition, ICFHR 2014. The task comprises word recognition from segmented historical documents. The core components of our system are based on multi-dimensional recurrent neural networks (MDRNN) and connectionist temporal classification (CTC). The s...

This paper discusses the applying of Multi-layer perceptrons for signature verification and recognition using a new approach enables the user to recognize whether a signature is original or a fraud. The approach starts by scanning images into the computer, then modifying their quality through image enhancement and noise reduction, followed by feature extraction and neural network training, and ...

Facial expressions can be considered as a means of communication by non-verbal signals. They are essential part of human relations. Automatic facial expressions recognition can be imperative for natural human-machine interaction. Automatic facial expressions recognition can be utilized in the field of behavioral science and in the health care department. Although humans perceive the facial expr...

This paper presents research done on developing an intelligent visual inspection system for automatic inspection of bottling production line. The objective of this research is to enhance on modeling, integrating, and implementation of intelligent visual inspection system in the process of quality control in industrial manufacturing. The system will inspect each individual product in real-time p...