Parallel Genetic Algorithm for Document Image Compression Optimization


Autoria(s): Kannan, Balakrishnan; Aysha, V; Babu, Sundar S
Data(s)

22/07/2014

22/07/2014

2010

Resumo

This work proposes a parallel genetic algorithm for compressing scanned document images. A fitness function is designed with Hausdorff distance which determines the terminating condition. The algorithm helps to locate the text lines. A greater compression ratio has achieved with lesser distortion

2010 International Conference on Electronics and Information Engineering (ICEIE 2010) vol 2,V2-483-V2-487

CUSAT

Identificador

http://dyuthi.cusat.ac.in/purl/4215

Idioma(s)

en

Publicador

IEEE

Palavras-Chave #Parallel genetic algorithm #compression #document image #compression ratio #fitness function
Tipo

Article