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Author:Vanhatalo, Lauri
Title:Online Sketch Recognition: Geometric Shapes
Geometristen muotojen reaaliaikainen tunnistus
Publication type:Master's thesis
Publication year:2011
Pages:[7] + 89      Language:   eng
Department/School:Tietotekniikan laitos
Main subject:Ohjelmistotekniikka   (T-106)
Supervisor:Soisalon-Soininen, Eljas
Instructor:Talja, Ari
Electronic version URL: http://urn.fi/URN:NBN:fi:aalto-201207022713
OEVS:
Electronic archive copy is available via Aalto Thesis Database.
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Location:P1 Ark Aalto  1551   | Archive
Keywords:online sketch recognition
computational geometry
stroke curve preprocessing
pen-based user interface
reaaliaikainen hahmontunnistus
laskennallinen geometria
piirtoviivan esiprosessointi
käyttöliittymä
Abstract (eng): Effective sketch recognition is the basis for pen and touch-based human-computer interfaces.
In this thesis the concepts, common methods and earlier work in the research area of online symbol recognition are presented.
A set of shape recognition approaches proposed in the past by various research teams are briefly introduced.
An online shape recognizer using global geometric features is described.

The preprocessing and feature extraction algorithms as well as the shape classification method are described in detail.
Recognition heuristics for two simple shapes (arrow and star) are suggested.
A graphical user interface was implemented and a group of subjects employed to obtain realistic results of the computational performance and recognition accuracy of the system: the implemented system performs fast but the results on the recognition accuracy were ambiguous.
Finally, the problems and restrictions of the approach are discussed.
Abstract (fin): Kynä- ja kosketuskäyttöliittymät vaativat toimiakseen tehokasta ja tarkkaa hahmontunnistusta.
Tässä työssä esitellään reaaliaikaisen hahmontunnistuksen käsitteistöä, yleisiä menetelmiä ja aikaisempaa tutkimusta.
Lyhyesti käsitellään eri tutkimusryhmien esittämiä hahmontunnistusjärjestelmiä.
Lisäksi esitellään geometrisiin piirteisiin perustuva hahmontunnistusjärjestelmä.

Työ antaa yksityiskohtaiset kuvaukset piirtoviivan esiprosessointi- ja piirteenirrotusalgoritmeista sekä hahmoluokittelumenetelmästä.
Lisäksi kuvaillaan hahmontunnistusheuristiikka kahdelle yksinkertaiselle muodolle (nuoli ja tähti).
Joukko koehenkilöitä käytti työssä toteutettua graa_sta käyttöliittymää, minkä tuloksena saatiin realistiset tulokset järjestelmän laskennallisesta suorituskyvystä ja tarkkuudesta: toteutettu järjestelmä on laskennallisesti nopea mutta tunnistustarkkuus monitulkintainen.
Lopuksi pohditaan valitun lähestymistavan ongelmia ja rajoitteita.
ED:2011-09-29
INSSI record number: 42840
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