EFFECTS OF FEATURE FUSION ON IMPROVEMENT OF RECOGNITION RATE OF FARSI HANDWRITTEN DIGITS

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

FAZLOLLAHI AGHAMALEK HAMED; RAZAVI SEYED MOHAMMAD; MEHRSHAD NASER; NADALINIA CHAREI QOLAMREZA

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT) Year:2015 | Volume:4 | Issue:3 Page(s): 81-90

Download Full-Text

Persian Verion

View:

858

Download:

Cites:

Information Journal Paper

Title

EFFECTS OF FEATURE FUSION ON IMPROVEMENT OF RECOGNITION RATE OF FARSI HANDWRITTEN DIGITS

Author(s)

FAZLOLLAHI AGHAMALEK HAMED | RAZAVI SEYED MOHAMMAD | MEHRSHAD NASER | NADALINIA CHAREI QOLAMREZA | Issue Writer Certificate

Keywords

FEATURE FUSIONQ2

GA ALGORITHMQ1

PSO ALGORITHMQ2

PERSIAN HANDWRITTEN DIGITS RECOGNITIONQ2

CLASSIFIERS COMBINATIONQ2

Abstract

In this paper, FEATURE FUSION technique is employed for improvement of recognition of handwritten digits.By merging three different feature vectors, given a specific weight for each of vectors, the Genetic Algorithm and Particle Swarm Optimization processes were applied to calculate the optimum weights.The main objective in this study was to compare the calculated weights according to each of the optimization techniques to that of CLASSIFIERS COMBINATION in order to achieve a higher recognition rate and time for Persian Handwritten digits.A database containing 60’000 training samples and 20’000 test samples is used for the process.

Cites

No record.

References

No record.

Cite

APA: Copy

FAZLOLLAHI AGHAMALEK, HAMED, RAZAVI, SEYED MOHAMMAD, MEHRSHAD, NASER, & NADALINIA CHAREI, QOLAMREZA. (2015). EFFECTS OF FEATURE FUSION ON IMPROVEMENT OF RECOGNITION RATE OF FARSI HANDWRITTEN DIGITS. JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT), 4(3), 81-90. SID. https://sid.ir/paper/245821/en

Vancouver: Copy

FAZLOLLAHI AGHAMALEK HAMED, RAZAVI SEYED MOHAMMAD, MEHRSHAD NASER, NADALINIA CHAREI QOLAMREZA. EFFECTS OF FEATURE FUSION ON IMPROVEMENT OF RECOGNITION RATE OF FARSI HANDWRITTEN DIGITS. JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT)[Internet]. 2015;4(3):81-90. Available from: https://sid.ir/paper/245821/en

IEEE: Copy

HAMED FAZLOLLAHI AGHAMALEK, SEYED MOHAMMAD RAZAVI, NASER MEHRSHAD, and QOLAMREZA NADALINIA CHAREI, “EFFECTS OF FEATURE FUSION ON IMPROVEMENT OF RECOGNITION RATE OF FARSI HANDWRITTEN DIGITS,” JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT), vol. 4, no. 3, pp. 81–90, 2015, [Online]. Available: https://sid.ir/paper/245821/en

Related Journal Papers