A projection based statistical approach for handwritten character recognition

被引：1
|
作者：
Pal, Sarbajit [1 ]
Mitra, Jhimli [2 ]
Ghose, Soumya [2 ]
Banerjee, Paromita [3 ]
机构：
[1] VECC, Accelerator Instrumentat Automat Dept, Kolkata, India
[2] JIS Coll Engn, MCA Dept, Kalyani, West Bengal, India
[3] Heritage Inst Technol, Dept IT, Kolkata, India
来源：
ICCIMA 2007: INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, VOL II, PROCEEDINGS | 2007年
关键词：
projection; notch elimination; polygonal approximation; segmentation; correlation;
D O I：
10.1109/ICCIMA.2007.270
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The aim of this paper is to recognize tipper-case English alphabets from handwritten documents. An OC system based on four-sided projections of an alphabet is proposed. The projection points are approximated polygons and feature points are extracted subsequently for notch elimination and segmentation of the polygo The resulting segments are smoothed by Bezier approximation. Statistical matching technique is successful applied for character recognition.
引用
收藏
页码：404 / +
页数：2
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