| Identity statement area | |
| Reference Type | Conference Paper (Conference Proceedings) |
| Site | sibgrapi.sid.inpe.br |
| Identifier | 6qtX3pFwXQZeBBx/w4SPk |
| Repository | sid.inpe.br/banon/2002/11.05.11.50 |
| Last Update | 2002:11.04.02.00.00 administrator |
| Metadata | sid.inpe.br/banon/2002/11.05.11.50.05 |
| Metadata Last Update | 2020:02.19.02.58.51 administrator |
| Citation Key | FreitasYacoFlįvSabo:2000:BrBaCh |
| Title | Brazilian bank check handwritten legal amount recognition  |
| Year | 2000 |
| Date | October |
| Access Date | 2021, Jan. 19 |
| Number of Files | 1 |
| Size | 629 KiB |
| Context area | |
| Author | 1 Freitas, Cinthia Oblanden de Almendra 2 Yacoubi, Abdenaim el 3 Flįvio, Bortolozzi 4 Sabourin, Robert |
| Editor | Carvalho, Paulo Cezar Pinto Walter, Marcelo |
| Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 13 (SIBGRAPI) |
| Conference Location | Gramado, RS, Brazil |
| Pages | 97-104 |
| Publisher | IEEE Computer Society |
| Publisher City | Los Alamitos |
| Tertiary Type | Full Paper |
| Organization | SBC - Brazilian Computer Society |
| History | 2008-07-17 14:10:49 :: administrator -> banon :: 2008-08-26 15:23:01 :: banon -> administrator :: 2009-08-13 20:36:54 :: administrator -> banon :: 2010-08-28 20:00:09 :: banon -> administrator :: 2020-02-19 02:58:51 :: administrator -> :: 2000 |
| Content and structure area | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Content Type | External Contribution |
| Keywords | document image processing, bank check handwritten word recognition, bank cheque, hidden markov models, global word analysis, feature extraction, database. |
| Abstract | This paper presents a system that is being developed for the recognition of the handwritten legal amount in Brazilian bank checks. Our strategy used to approach the handwritten legal amount recognition problem puts on evidence the keywords: "mil", "reals/real", "centavos/centavo" which are almost always present in each amount. The recognizer, based on hidden markov models, does a global word analysis, therefore, it does not carry out an explicit segmentation of words into characters or pseudo-characters. In this context, each word image is transformed into a sequence of observations using pre-processing and feature extraction stages. Our system, when tested on our database simulating Brazilian bank checks, shows the viability of our approach. |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| Conditions of access and use area | |
| data URL | http://urlib.net/rep/6qtX3pFwXQZeBBx/w4SPk |
| zipped data URL | http://urlib.net/zip/6qtX3pFwXQZeBBx/w4SPk |
| Target File | 97-104.pdf |
| User Group | administrator |
| Visibility | shown |
| Allied materials area | |
| Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
| Notes area | |
| Notes | The conference was held in Gramado, RS, Brazil, from October 17 to 20. |
| Empty Fields | accessionnumber affiliation archivingpolicy archivist area booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition electronicmailaddress format group holdercode isbn issn label language lineage mark mirrorrepository nextedition nexthigherunit numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |