A REVIEW OF CHARACTER AND OBJECT RECOGNITION USING SMART PHONE

Registration ID: IJNRD_170180

Published ID: IJNRD1712004

DOI: Click Here to Get

Prof. Sanjay Jondhale , Nayan Manaji Thorat , Kiran Vilas Narkhede , Kalpesh Sunil Patil , Shubham Sethi

SIFT, Chinese character recognition, mobile platform.

ABSTRACT People may have difficulty in reading Chines books because there always exist some unfamiliar Chinese characters, so it would be valuable if an application can help users including foreigners to learn them. This paper presents a platform based on mobile devices for helping people to recognize the unfamiliar characters at any time or any place. Firstly, we collect various dataset of Chinese characters to build a complete character set, then create the image library according to that set by segmenting. Secondly, the so-called SIFT features are extracted from the image library to establish feature library. To improve the recognition performance, we filter the SIFT feature points of similar images obtained by SIFT feature matching. Finally, compress the storage of SIFT descriptors to accommodate mobile platform with Similarity Sensitive Coding(SSC) algorithm. At the stage of recognition, the high-dimensional indexing algorithm is applied in finding the top k Chinese characters similar to the image of unfamiliar character by SIF feature , which has the strong versatility and the extension malleability. Then these characters are reordered by SIFT feature matching. The final recognition result is based on the locations of each character in SIFT matching result respectively. We apply that algorithm in Android platform. It shows great performance in recognition and gives smooth experience to users. Keywords :-

Published Paper   E-Certificate

Prof. Sanjay Jondhale, Nayan Manaji Thorat , Kiran Vilas Narkhede, Kalpesh Sunil Patil , & Shubham Sethi (December-2017). A REVIEW OF CHARACTER AND OBJECT RECOGNITION USING SMART PHONE. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 2(12), 15-18. https://ijnrd.org/papers/IJNRD1712004.pdf

Volume 2 Issue 12, December-2017

Pages : 15-18

Paper Reg. ID: IJNRD_170180

Published Paper Id: IJNRD1712004

Downloads: 000121985

Research Area: Engineering

Country: loni, Maharashtra,India, , India

Published Paper PDF: https://ijnrd.org/papers/IJNRD1712004.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD1712004

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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