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CVL OCR DB, an annotated image database of text in natural scenes, and its usability
Ikica, Andrej (Avtor), Peer, Peter (Avtor)

URLURL - Predstavitvena datoteka, za dostop obiščite http://eprints.fri.uni-lj.si/1672/ Povezava se odpre v novem oknu

Izvleček
Text detection and optical character recognition (OCR) in images of natural scenes is a fairly new computer vision area but yet very useful in numerous applicative areas. Although many implementations gain promising results, they are evaluated mostly on the private image collections that are very hard or even impossible to get. Therefore, it is very difficult to compare them objectively. Since our aim is to help the research community in standardizing the evaluation of the text detection and OCR methods, we present CVL OCR DB, a public database of annotated images of text in diverse natural scenes, captured at varying weather and lighting conditions. All the images in the database are annotated with the text region and single character location information, making CVL OCR DB suitable for testing and evaluating both text detection and OCR methods. Moreover, all the single characters are also cropped from the original images and stored individually, turning our database into a huge collection of characters suitable for training and testing OCR classifiers.

Jezik:Angleški jezik
Ključne besede:računalniški vid, detekcija teksta, optična razpoznava znakov, naravne scene
Vrsta gradiva:Delo ni kategorizirano (r6)
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FRI - Fakulteta za računalništvo in informatiko
Leto izida:2011
Založnik:MIDEM
Št. strani:str. 150-154
Številčenje:Letn. 41, št. 2
UDK:004.93
ISSN pri članku:0352-9045
COBISS.SI-ID:8697428 Povezava se odpre v novem oknu
Število ogledov:587
Število prenosov:168
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
 
Skupna ocena:(0 glasov)
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Gradivo je del revije

Naslov:Informacije MIDEM
Skrajšan naslov:Inf. MIDEM
Založnik:Strokovno društvo za mikroelektroniko, elektronske sestavne dele in materiale
ISSN:0352-9045
COBISS.SI-ID:1220612 Povezava se odpre v novem oknu

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:computer vision, text detection, optical character recognition, natural scenes

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