Contextual Arabic Handwriting Recognition System Using Embedded Training Based Hybrid HMM/MLP Models
Journal Title: Transactions on Machine Learning and Artificial Intelligence - Year 2017, Vol 5, Issue 4
Abstract
Recognizing unconstrained cursive Arabic handwritten text is a very challenging task the use of hybrid classification to take advantage of the strong modeling of Hidden Markov Models (HMM) and the large capacity of discrimination related to Multilayer Perceptron (MLP) is a very important component in recognition systems.The proposed work reports an effective method on improvement our previous work that takes into consideration the context of character by applying an embedded training based HMMs this HMM is enhanced by anArtificial neural network that are incorporated into the process of classification to estimate the emission probabilities. The experiments are done on the same benchmark IFN/ENIT database of our previous work to compare the results and show the effectiveness of hybrid classifier for enhancing the recognition rate the results are promising and encouraging.
Authors and Affiliations
Mouhcine Rabi, Mustapha Amrouch, Zouhir Mahani
Keywords
Related Articles
- EP ID EP308421
- DOI 10.14738/tmlai.54.2983
- Views 69
- Downloads 0
SAAS Cloud security : Attacks and Proposed Solutions
Nowadays the Cloud has started to gain ground even in SMEs, in spite of that the Cloud is still unknown for several ... for others few reliable. SaaS represents a promising technology, which grows each year rapidly. Only...
Integration of the Cloud Environment in E-learning Systems
Nowadays, elearning systems have known a major revolution, especially with the emergence of new information and communication technologies and the enormous growth in the number of learners, educational content and resour...
An Efficient Brain Tumour Extraction in MR Images using Ford-Fulkerson Algorithm
Brain tumor division intends to discrete the diverse tumor tissues, for example, dynamic cells, necrotic core,and edema from typical cerebrum tissues of White Matter (WM), Gray Matter (GM), and Cerebrospinal Fluid (CSF)....
Brain Tumor Segmentation using Multiobjective Fuzzy Clustering
The segmentation of magnetic resonance images plays a crucial role in medical image analysis because it extracts the required area from the image. Despite intensive research, it still remains a challenging problem and th...
A Model Driven Architecture Approach to Generate Multidimensional Schemas of Data Warehouses
Over the past decade, the concept of data warehousing has been widely accepted. The main reason for building data warehouses is to improve the quality of information in order to achieve specific business objectives such...