CLUSTERING OF PRINTED FARSI SUBWORDS USING CHARACTERISTIC LOCI FEATURES AND K-MEANS ALGORITHM

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EBRAHIMI AFSHIN; KABIR E.A.

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Journal: JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TABRIZ) Year:2006 | Volume:33 | Issue:1 (43) ELECTRICAL ENGINEERING Page(s): 1-11

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Information Journal Paper

Title

CLUSTERING OF PRINTED FARSI SUBWORDS USING CHARACTERISTIC LOCI FEATURES AND K-MEANS ALGORITHM

Author(s)

EBRAHIMI AFSHIN | KABIR E.A. | Issue Writer Certificate

Keywords

SUBWORDQ1

CHARACTERISTIC LOCI FEATURESQ1

CLUSTERINGQ1

K-MEANSQ1

PCAQ1

CLASSIFICATIONQ1

EUCLIDIAN DISTANCEQ1

Abstract

In this paper the CHARACTERISTIC LOCI FEATURES are used for the description of printed Farsi SUBWORDs. In extraction of these features, the numbers of crossings with SUBWORD bodies are restricted to 2. Using PCA, 12 uncorrelated features are selected. The images of SUBWORDs are clusterd using K-MEANS algorithm with EUCLIDIAN DISTANCE. 9445 SUBWORDs of Lotus 12 font, with 400dpi resolution, are clustered to 150 and 300 clusters. Minimum and maximum cluster sizes are 11 and 91 SUBWORDs, respectively, for 150 clusters and 2 and 58 SUBWORDs, for 300 clusters. In a test, for CLUSTERING verification, images of 200 SUBWORDs, were rescanned and classified to 300 clusters. In this CLASSIFICATION, the EUCLIDIAN DISTANCE from cluster means is used. In first, first five and first ten choices, 80.69%, 97.52% and 100% of these SUBWORDs were correctly classified.

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APA: Copy

EBRAHIMI, AFSHIN, & KABIR, E.A.. (2006). CLUSTERING OF PRINTED FARSI SUBWORDS USING CHARACTERISTIC LOCI FEATURES AND K-MEANS ALGORITHM. JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TABRIZ), 33(1 (43) ELECTRICAL ENGINEERING), 1-11. SID. https://sid.ir/paper/43689/en

Vancouver: Copy

EBRAHIMI AFSHIN, KABIR E.A.. CLUSTERING OF PRINTED FARSI SUBWORDS USING CHARACTERISTIC LOCI FEATURES AND K-MEANS ALGORITHM. JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TABRIZ)[Internet]. 2006;33(1 (43) ELECTRICAL ENGINEERING):1-11. Available from: https://sid.ir/paper/43689/en

IEEE: Copy

AFSHIN EBRAHIMI, and E.A. KABIR, “CLUSTERING OF PRINTED FARSI SUBWORDS USING CHARACTERISTIC LOCI FEATURES AND K-MEANS ALGORITHM,” JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TABRIZ), vol. 33, no. 1 (43) ELECTRICAL ENGINEERING, pp. 1–11, 2006, [Online]. Available: https://sid.ir/paper/43689/en

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