A Braille Recognition System by the Mobile Phone with Embedded Camera

Zhang, Shanjun; Yoshino, Kazuyoshi

doi:10.1109/icicic.2007.4

Cited by 26 publications

(15 citation statements)

References 5 publications

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“…So we adopt the partial and local threshold method to finish the segmentation in this paper, namely Braille image may be separated into numerous sub-block of appropriate, and then have Otsu algorithm in each sub-block to segment, we use sub-block with the size of 60x70 pixels. Besides, we remove isolate dots that out of regular pattern of the Braille dots array and outlier, and then and next de-noise [7]. Experiment result shown in Figure 4.…”

Section: = ( ) + ( )mentioning

confidence: 92%

The Research on Paper-Mediated Braille Automatic Recognition Method

Yin

Wang

2010

2010 Fifth International Conference on Frontier of Computer Science and Technology

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The paper-mediated Braille automatic recognition method referred in this paper, for the scanned Braille images, pre-process the Braille images, convert into Braille binary image and then extract the Braille features by the fixed nature of Braille. Then grouping, locating, marking the Braille cells, establish a standard Braille Corpus according as one-to-one Correspondence between Braille cell and character contains Hanyu Pinyin, Arabic numerals and interpunction, then match the recognized Braille cells and finally output the sentences formed Hanyu Pinyin, Arabic numerals and interpunation. This method is simple convenient, and easy to operate. The paper introduces Braille extraction, Braille recognition, illuminates specific experimental approach in details. Experiments show that the method can effectively extract Braille, and accurately convert the Braille into Hanyu Pinyin.

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confidence: 92%

The Research on Paper-Mediated Braille Automatic Recognition Method

Yin

Wang

2010

2010 Fifth International Conference on Frontier of Computer Science and Technology

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“…Braille recognition not only creates a healthy environment of communication for visually challenged, but also resolves the cause of people engaged in special education issues, such as schoolwork, correcting papers, etc [3]. Now-a-days, Braille is incorporated in currency notes, keypads of cell phones, ATM machines [1] and can be found as instructions at railway stations, door labels in elevators [6]. Basically, there are two types of Braille-Grade1 and Grade2 [1].…”

Section: Fig 1 a Braille Cellmentioning

confidence: 98%

Odia Braille: Text transcription via image processing

Parvathi

Das

2015

2015 International Conference on Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE)

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Braille-a model introduced to reduce the illiteracy rate among the visually challenged people. There has been a lot of scope for the conversion of English language to Braille but, the problem arises when the masses are unable to understand the communication by the visually challenged people. This paper focuses on the conversion of the Braille code representing Odia language(a language widely spoken in East India) into Odia word as text. For this, image processing using MATLAB technique provides a suitable platform to perform the segmentation of Braille cell for pattern selection and hence, Odia letter and word recognition. Braille Data Base creation acts as a storage system for the process and its accuracy is also tested which is explained in this paper.

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“…Zhang et al proposed a Braille recognition system via a mobile phone with embedded camera [10]. They compared the distances between different dots (given no previous knowledge of whether the dots belonged to the same character or not) to locate the characters and then translate into Japanese.…”

Section: Introductionmentioning

confidence: 99%