Proceedings of the 2010 ACM Symposium on Applied Computing 2010
DOI: 10.1145/1774088.1774094
|View full text |Cite
|
Sign up to set email alerts
|

Seal object detection in document images using GHT of local component shapes

Abstract: Due to noise, overlapped text/signature and multi-oriented nature, seal (stamp) object detection involves a difficult challenge. This paper deals with automatic detection of seal from documents with cluttered background. Here, a seal object is characterized by scale and rotation invariant spatial feature descriptors (distance and angular position) computed from recognition result of individual connected components (characters). Recognition of multi-scale and multioriented component is done using Support Vector… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0

Year Published

2011
2011
2016
2016

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 8 publications
(3 citation statements)
references
References 10 publications
0
3
0
Order By: Relevance
“…The query is used to find similar symbols in the database. Examples of such approaches can be found in [14]. Symbol spotting approaches could be used to distinguish between known stamps and forged stamps with the same content but different layout.…”
Section: Related Workmentioning
confidence: 99%
“…The query is used to find similar symbols in the database. Examples of such approaches can be found in [14]. Symbol spotting approaches could be used to distinguish between known stamps and forged stamps with the same content but different layout.…”
Section: Related Workmentioning
confidence: 99%
“…A method for seal object detection in document images is presented in [9]. Generalized Hough Transform is used to detect the seal and based on voting seal object is located.…”
Section: Related Workmentioning
confidence: 99%
“…Roy et al, applied GHT (Generalized Hough Transform) of local component shapes to extract seal imprints [8] . A seal imprint is characterized by scale and rotation invariant spatial feature descriptors (distance and angular position) computed from recognition result of individual connected components (characters).…”
Section: Related Workmentioning
confidence: 99%