Chain code histogram based hand vein detection system

Bawase, Anagha B.; Apte, Shaila Dinkar

doi:10.1109/infop.2015.7489471

Cited by 4 publications

(7 citation statements)

References 9 publications

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“…The results produced a failure rate of 35.2% in vein detection which can be improved. Bawase and Apte [13] presented a vein detection system using a smartphone camera with a resolution of 6 megapixels and 36 IR LEDs with a wavelength of 850 nm. The image is taken by the mobile camera and sent to a personal computer for processing.…”

Section: Related Workmentioning

confidence: 99%

“…In a biomedical imaging system, captured frames contain dark regions or low contrast of local regions. Therefore, Global Histogram Equalization is not the best method to be used [13]. The Contrast Limited Adaptive Histogram Equalization (CLAHE) technique depends on regional contrast [24].…”

Section: Contrast Enhancementmentioning

confidence: 99%

“…All this makes the proposed prototype superior to the existing systems in terms of speed and realtime processing. Table 4 reports the comparative results of the proposed prototype with other existing systems presented in [12,13,16,19,22] in terms of hardware component used, the number of sample data, characteristics of sample data, and the total cost. The systems presented in [16,19,22] used the hardware components for collecting datasets for recognition purposes.…”

Section: System Evaluationmentioning

confidence: 99%

“…These systems depend on an external processing unit for running their algorithms which leads to an increase in cost. Also, the work presented in [12] and [13] was mainly developed for vein detection. The system presented in [12] achieves a detection rate of 64.8%.…”

Section: System Evaluationmentioning

confidence: 99%

“…The system presented in [12] achieves a detection rate of 64.8%. on the other hand, the work presented in [13] depends on a personal computer in processing which limits its portability. As can be…”

Section: System Evaluationmentioning

confidence: 99%

See 4 more Smart Citations

Digital Vein Mapping Using Augmented Reality

Taha¹,

Ibrahim²,

Zayed³

2020

IJIES

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Vein detection is an important issue for the medical field. There are some commercial devices for detecting veins using infrared radiation. However, most of these commercial solutions are cost-prohibitive. Recently, veins detection has attracted much attention from research teams. The main focus is on developing real-time systems with low-cost hardware. Systems developed to reduce costs suffer from low frame rates. This, in turn, makes these systems not suitable for real-world applications. On the other hand, systems that use powerful processors to produce high frame rates suffer from high costs and a lack of mobility. In this paper, a real-time vein mapping prototype using augmented reality is proposed. The proposed prototype provides a compromised solution to produce high frame rates with a low-cost system. It consists of a USB camera attached to an Android smartphone used for real-time detection. Infrared radiation is employed to differentiate the veins using 20 Infrared Light Emitting Diodes (LEDs). The captured frames are processed to enhance vein detection using light computational algorithms to improve real-time processing and increase frame rate. Finally, the enhanced view of veins appears on the smartphone screen. Portability and economic cost are taken into consideration while developing the proposed prototype. The proposed prototype is tested with people of different ages and gender, as well as using mobile devices of different specifications. The results show a high vein detection rate and a high frame rate compared to other existing systems.

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Section: Related Workmentioning

confidence: 99%

Section: Contrast Enhancementmentioning

confidence: 99%