Multiple handwritten text line recognition systems derived from specific integration of a language model

被引：7

作者：

Bertolami, R ^{[1
]}

Bunke, H ^{[1
]}

机构：

[1] Univ Bern, Inst Comp Sci & Appl Math, CH-3012 Bern, Switzerland

来源：

EIGHTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS 1 AND 2, PROCEEDINGS | 2005年

关键词：

D O I：

10.1109/ICDAR.2005.167

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper investigates the generation and use of multiple recognition results to improve the performance of an offline handwritten text line recognition system. Multiple recognition results are created by specific integration of a language model in the hidden Markov model based recognition system. The ROVER algorithm is applied to combine the multiple results. Experiments conducted on the IAM database show that the proposed system is able to produce statistically significant improvements in the recognition rate compared to the original system.

引用

页码：521 / 525

页数：5

共 24 条

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