Character recognition, orientation, and scale estimation thanks to the Fourier Mellin Transform

被引：0

作者：

Adam, S ^{[1
]}

Ogier, JM

Cariou, C

Mullot, R

Gardes, J

Labiche, J

机构：

[1] Univ Rouen, Lab PSI, F-76821 Mont St Aignan, France

[2] ENSSAT Lannion, LASTI, F-22305 Lannion, France

[3] France Telecom, DVSI DES, MBL, F-90007 Belfort, France

来源：

ADVANCES IN PATTERN RECOGNITION | 2000年 / 1876卷

关键词：

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper, we consider the general problem of technical document interpretation, applied to the documents of the French Telephonic Operator, France Telecom. More precisely, we focus the content of this paper on the computation of a new set of features allowing the classification of multi-oriented and multi-scaled patterns. This set of Invariant is based on the Fourier Mellin Transform. The interests of this computation rely on the possibility to use this Fourier Mellin transform within a "Filtering mode", that permits to solve the well known difficult problem of connected character recognition. In this paper, we also present an original technique allowing to compute an estimation of the orientation of each shape to be recognized.

引用

页码：472 / 481

页数：10