2015
DOI: 10.21015/vtse.v9i1.386
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Pakistan Sign Language: Computer Vision Analysis & Recommendations

Abstract: pk 1. Introduction. It has been discussed above that a noticeable amount of deaf community exists in Pakistan. A detail study has been presented based upon statistical data regarding the deaf people in Pakistan [1][2]. About 3.3 million of Pakistanis are suffering from any kinds of disability in which 0.24 million are impaired of hearing which approximates to 7.4% of overall disables. A very important point is that 55% of the total disabled lie in the age group from 5-29 years. Another statistics provide provi… Show more

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Cited by 17 publications
(12 citation statements)
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“…It also helped to fill the communication gap between hearing and deaf people. In Reference [29], a historical background was presented for the development of PSL. The contribution of different organizations to the development of PSL was also discussed in it.…”
Section: Related Workmentioning
confidence: 99%
“…It also helped to fill the communication gap between hearing and deaf people. In Reference [29], a historical background was presented for the development of PSL. The contribution of different organizations to the development of PSL was also discussed in it.…”
Section: Related Workmentioning
confidence: 99%
“… Data format Raw Analyzed. Parameters for data collection All special hand configuration of the Urdu language alphabets are captured with different orientation and shapes of both hand and fingers [15] Description of data collection. There are 37 letters in the Urdu alphabet.…”
Section: Specifications Tablementioning
confidence: 99%
“…There are 37 alphabets in the Urdu language, in our developed dataset total of 40 images for each alphabet are captured with different orientation of hand and fingers through webcam. The alphabets of Urdu sign language are categories baesed on the shape and orientations of both hand and fingers as described in [15] . Total 1480 images are acquired and with these images, 37 classes are created.…”
Section: Data Descriptionmentioning
confidence: 99%
“…The accuracy of the system is from 70 -80%. Sumaira has proposed another system using data gloves but this time the use of colored ones is proposed by Sumaira et al She uses fuzzy classifiers to identify gestures [14], [15].…”
Section: Evolution Of Sign Languagementioning
confidence: 99%
“…Sami et al [9] has proposed another technique using computer vision. They have used cross correlation with an accuracy of 75% [14].…”
Section: Evolution Of Sign Languagementioning
confidence: 99%