2016
DOI: 10.14257/ijsip.2016.9.10.27
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Critical Evaluation of Frontal Image-Based Gender Classification Techniques

Abstract: The face describes the personality of humans and has adequate importance in the identification and verification process. The human face provides, information as age, gender, face expression and ethnicity.

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Cited by 2 publications
(3 citation statements)
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“…In order to create an effective object recognition system-in this case, face recognition-an attempt was made to integrate the human cognition principle. Numerous researchers have utilized decision tree-based classification approaches in a variety of fields, such as facial expression recognition (Salmam et al, 2016), group-based study to identify localized melanoma patients (Tsai et al, 2007), protein classification (Pepik et al, 2009), occlusions detection , rule extraction for security analysis (Ren et al, 2006), gender classification (Khan et al, 2013), and hybrid classification based on decision tree and naïve bays methods (Muqasqas et al, 2014). In order to determine the most accurate class description for a given object, the decision tree concept takes into account the hierarchy of classes, just like humans do.…”
Section: Introductionmentioning
confidence: 99%
“…In order to create an effective object recognition system-in this case, face recognition-an attempt was made to integrate the human cognition principle. Numerous researchers have utilized decision tree-based classification approaches in a variety of fields, such as facial expression recognition (Salmam et al, 2016), group-based study to identify localized melanoma patients (Tsai et al, 2007), protein classification (Pepik et al, 2009), occlusions detection , rule extraction for security analysis (Ren et al, 2006), gender classification (Khan et al, 2013), and hybrid classification based on decision tree and naïve bays methods (Muqasqas et al, 2014). In order to determine the most accurate class description for a given object, the decision tree concept takes into account the hierarchy of classes, just like humans do.…”
Section: Introductionmentioning
confidence: 99%
“…The relation between Image Processing and Forensic Science is not only to check documents forgery. The image processing can also be used in other crime investigation application, to examine the crime scene photograph by image enhancement and image restoration and matching of facial identification of criminal [8].…”
Section: Introductionmentioning
confidence: 99%
“…The signature image consists of thousands of pixels and for processing, we manipulate these pixels after applying mathematical operations. The steps of image processing techniques are mostly the training of algorithm or classifier to save the key points of an image in a mathematical way [8]. The comparison of the mathematical points with the new image under consideration.…”
Section: Introductionmentioning
confidence: 99%