HANDWRITTEN WORD RECOGNITION BY NEW FEATURE AND LEXICON REDUCTION

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BOROUMAND SOMAYEH; IRANPOUR MOBARAKE MAJID

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Journal Paper

Paper Information

Journal: MACHINE VISION AND IMAGE PROCESSING Year:2018 | Volume:4 | Issue:2 Page(s): 35-47

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Information Journal Paper

Title

HANDWRITTEN WORD RECOGNITION BY NEW FEATURE AND LEXICON REDUCTION

Author(s)

BOROUMAND SOMAYEH | IRANPOUR MOBARAKE MAJID | Issue Writer Certificate

Keywords

HANDWRITTEN WORD RECOGNITION

LINEAR DISCRIMINANT ANALYSIS (LDA)

DENSE SIFT

LEXICON REDUCTION

ISOCLUS

Abstract

HANDWRITTEN WORD RECOGNITION (HWR) is very important in document analysis and retrieval. In this paper, an off-line handwritten recognition system for Persian manuscript is introduced.For feature extraction, SIFT descriptors extracted densely from the block of word image and enriched by appending the normalized x and y coordinates and the scale they were extracted at. Linear discriminate analysis (LDA) is used for feature reduction. All words in the dictionary were hierarchically clustered by ISOCLUSE algorithm. In order to recognize the word images, multiple-class and two-class SVM classifiers methods were used. The experimental results showed a better performance in terms of speed and precision of two-class SVM method on the Iranshahr data set. The accuracy of proposed system by select 5 top cluster is shown 93.37% by 76.65% reduction of lexicon.

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APA: Copy

BOROUMAND, SOMAYEH, & IRANPOUR MOBARAKE, MAJID. (2018). HANDWRITTEN WORD RECOGNITION BY NEW FEATURE AND LEXICON REDUCTION. MACHINE VISION AND IMAGE PROCESSING, 4(2 ), 35-47. SID. https://sid.ir/paper/265702/en

Vancouver: Copy

BOROUMAND SOMAYEH, IRANPOUR MOBARAKE MAJID. HANDWRITTEN WORD RECOGNITION BY NEW FEATURE AND LEXICON REDUCTION. MACHINE VISION AND IMAGE PROCESSING[Internet]. 2018;4(2 ):35-47. Available from: https://sid.ir/paper/265702/en

IEEE: Copy

SOMAYEH BOROUMAND, and MAJID IRANPOUR MOBARAKE, “HANDWRITTEN WORD RECOGNITION BY NEW FEATURE AND LEXICON REDUCTION,” MACHINE VISION AND IMAGE PROCESSING, vol. 4, no. 2 , pp. 35–47, 2018, [Online]. Available: https://sid.ir/paper/265702/en

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