Several industrial applications do require embedded solutionsboth for compacting the hardware occupation and reducing energy consumption, and for achieving high speed performance. This paper presents a computer vision system developed for correcting image skew in applications for banknote analysis and classification. The system must be very efficient and run on a fixed-point DSP with limited computational resources. Consequently, we propose three innovative improvements to basic and general-purpose image processing techniques that can be helpful in other computer vision applications on embedded devices. In particular, we address: a) an efficient labeling with an unionfind approach for hole filling, b) a fast Hough transform implementation, and c) a very high-speed estimation of affinetransformation for skew correction. The reported results demonstrate both the accuracy and the efficiency of the system,also in presence of severe skew. In terms of efficiency, the computational time is reduced of about two orders of magnitude.

A Real-Time Embedded Solution for Skew Correction in Banknote Analysis / Rashid, Adnan; Prati, Andrea; Cucchiara, Rita. - ELETTRONICO. - (2011), pp. 1-8. (Intervento presentato al convegno Seventh IEEE Workshop on Embedded Computer Vision tenutosi a Colorado Springs, CO (USA) nel 20 June 2010) [10.1109/CVPRW.2011.5981806].

A Real-Time Embedded Solution for Skew Correction in Banknote Analysis

RASHID, Adnan;PRATI, Andrea;CUCCHIARA, Rita
2011

Abstract

Several industrial applications do require embedded solutionsboth for compacting the hardware occupation and reducing energy consumption, and for achieving high speed performance. This paper presents a computer vision system developed for correcting image skew in applications for banknote analysis and classification. The system must be very efficient and run on a fixed-point DSP with limited computational resources. Consequently, we propose three innovative improvements to basic and general-purpose image processing techniques that can be helpful in other computer vision applications on embedded devices. In particular, we address: a) an efficient labeling with an unionfind approach for hole filling, b) a fast Hough transform implementation, and c) a very high-speed estimation of affinetransformation for skew correction. The reported results demonstrate both the accuracy and the efficiency of the system,also in presence of severe skew. In terms of efficiency, the computational time is reduced of about two orders of magnitude.
2011
Seventh IEEE Workshop on Embedded Computer Vision
Colorado Springs, CO (USA)
20 June 2010
1
8
Rashid, Adnan; Prati, Andrea; Cucchiara, Rita
A Real-Time Embedded Solution for Skew Correction in Banknote Analysis / Rashid, Adnan; Prati, Andrea; Cucchiara, Rita. - ELETTRONICO. - (2011), pp. 1-8. (Intervento presentato al convegno Seventh IEEE Workshop on Embedded Computer Vision tenutosi a Colorado Springs, CO (USA) nel 20 June 2010) [10.1109/CVPRW.2011.5981806].
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/665247
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact