Multimodal Biometric Person Authentication using Speech, Signature and Handwriting Features Journal title: International Journal of Advanced Computer Science & Applications Authors: Eshwarappa M.N. , Dr. Mrityunjaya V. Latte Subject(s):
The Analysis of Recognition Methods Based on Artificial Intelligence and their Application in Handwritten Text Recognition Journal title: Jaunųjų mokslininkų darbai Authors: Gediminas Kavaliauskas, Gražvydas Felinskas Subject(s):
Skew Detection/Correction and Local Minima/Maxima Techniques for Extracting a New Arabic Benchmark Database Journal title: International Journal of Advanced Computer Science & Applications Authors: Husam Al Hamad Subject(s):
A Global Online Handwriting Recognition Approach Based on Frequent Patterns Journal title: Engineering, Technology & Applied Science Research Authors: C. Gmati, H. Amiri Subject(s): Engineering, Technological Change, Information Science, Industrial Management, Civil Engineering
Handwriting Recognition System – A Survey Journal title: International journal of Emerging Trends in Science and Technology Authors: Pooja Yadav Subject(s):
Improved HMM for Cursive Arabic Handwriting Recognition System Using MLP Classifier Journal title: Transactions on Machine Learning and Artificial Intelligence Authors: Mouhcine Rabi, Mustapha Amrouch, Zouhir Mahani Subject(s):
Contextual Arabic Handwriting Recognition System Using Embedded Training Based Hybrid HMM/MLP Models Journal title: Transactions on Machine Learning and Artificial Intelligence Authors: Mouhcine Rabi, Mustapha Amrouch, Zouhir Mahani Subject(s):
Handengineered Features vs Automated Features for Arabic Handwriting Recognition Journal title: Transactions on Machine Learning and Artificial Intelligence Authors: Mustapha Amrouch, Mouhcine Rabi Subject(s):
Multi-agent Systems for Arabic Handwriting Recognition Journal title: International Journal of Interactive Multimedia and Artificial Intelligence Authors: Youssef Boulid, Abdelghani Souhar, Mohamed Youssfi Elkettani Subject(s):
Handwriting Identification By Using Neuro Fuzzy Methods Based On Features Extraction Journal title: International Journal of engineering Research and Applications Authors: Aeri Rachmad Subject(s):
