HMM-based Indic handwritten word recognition using zone segmentation
作者：
Highlights：
• A novel approach of Indic handwritten word recognition using zone segmentation.
• Efficient PHOG features developed to improve the performance of HMM based middle zone recognition.
• Integration of water reservoir concept for better character alignment in a word image.
• A detailed study of experimental results in Bangla and Devanagari scripts has been performed.
• The proposed framework outperforms traditional without-zone-segmentation based recognition systems.
摘要
•A novel approach of Indic handwritten word recognition using zone segmentation.•Efficient PHOG features developed to improve the performance of HMM based middle zone recognition.•Integration of water reservoir concept for better character alignment in a word image.•A detailed study of experimental results in Bangla and Devanagari scripts has been performed.•The proposed framework outperforms traditional without-zone-segmentation based recognition systems.
论文关键词：Handwritten word recognition,Hidden Markov Model,Indian script recognition
论文评审过程：Received 30 April 2015, Revised 10 April 2016, Accepted 20 April 2016, Available online 10 May 2016, Version of Record 2 September 2016.
论文官网地址：https://doi.org/10.1016/j.patcog.2016.04.012
