Litcius/Paper detail

New Database of French Computer Science Words Handwritten Vocabulary

Soufiane Hamida, Bouchaib Cherradi, Oussama El Gannour, Oumaima Terrada, Abdelhadi Raihani, Hassan Ouajji

20212021 International Congress of Advanced Technology and Engineering (ICOTEN)42 citationsDOI

Abstract

Handwriting recognition still considered a difficult problem statement. In this paper, we present a new database containing educational vocabulary written by adolescent’s learners. 200 Moroccan secondary school students whose age varies between 14 and 16 years participated in the development of the first version of the Computer Science Vocabulary Database (CSVD). Our database contains a set of 15000 images. Word images are scanned and converted to image format to prepare them for subsequent processing steps. Preprocessing techniques were applied to the images to decrease the variability of colors, contrast, and brightness often presented in handwritten word images. This database is designed for the training and testing of handwritten French word recognition systems. Furthermore, the CSVD database can constitute an opportunity for other researchers to evaluate their recognition methods and systems.

Topics & Concepts

Computer scienceVocabularyHandwritingHandwriting recognitionPreprocessorArtificial intelligenceNatural language processingWord (group theory)Set (abstract data type)DatabaseSpeech recognitionFeature extractionLinguisticsProgramming languagePhilosophyHandwritten Text Recognition TechniquesNatural Language Processing TechniquesHand Gesture Recognition Systems