http://202.88.229.59:8080/xmlui/handle/123456789/360 Wed, 15 Apr 2026 17:52:18 GMT 2026-04-15T17:52:18Z http://localhost:80/jspui/retrieve/2571911a-a9f4-4bfb-9ce2-240621790907/REJI R.jpg http://202.88.229.59:8080/xmlui/handle/123456789/360 http://202.88.229.59:8080/xmlui/handle/123456789/1065 Title: 3D Facial Features in Neuro Fuzzy Model for Predictive Grading of Childhood Autism Authors: Reji, R Abstract: Autism Spectrum Disorder (ASD) is a clinically heterogeneous neurological developmental disorder. It is called a spectrum disorder because of its range of symptoms. Early diagnosis and proper intervention is required for the effective treatment of autism. Diagnosis is based on the quantitative and qualitative analysis made by the clinician. The expertise of the clinician is so important in the proper diagnosis and classification of autism. This paper proposes an Expert system that act as a support system to the clinician. Major clinical attributes of autism along with facial features are used as input to the expert system. The main highlight is the use of feautures from 3D facial imagery for autism classification. The expert system operates in two modes, diagnosis mode and grading mode. Naïve Bayes classifier is initially used for diagnosis mode where as overall system is implemented using a Neuro-Fuzzy approach. In the diagnosis mode 100% accuracy and in classification mode 98.8% accuracy is obtained. Sun, 01 Jan 2017 00:00:00 GMT http://202.88.229.59:8080/xmlui/handle/123456789/1065 2017-01-01T00:00:00Z http://202.88.229.59:8080/xmlui/handle/123456789/1064 Title: 3D Face Recognition System in Time Critical Security Applications Authors: Reji, R Abstract: 3D face recognition has gained lot of attention due to improved sensors and advanced algorithms, deployment of this modality in biometrics systems is common now days. This paper presents the application of Region based 3D face recognition system. Region based face recognition system works by extracting 15 small regions from the frontal face; Modified face recognition algorithm along with hierarchical contour based registration technique is applied for finding similarity. We are operating this system in two modes namely the verification mode and the confirmation mode. The approaches employed is Distributed computing which gives more insight into the implementation of the system in time critical applications. Sun, 01 Jan 2017 00:00:00 GMT http://202.88.229.59:8080/xmlui/handle/123456789/1064 2017-01-01T00:00:00Z http://202.88.229.59:8080/xmlui/handle/123456789/692 Title: Altered Fingerprints: Identification and Analysis Authors: Reji; Philip, Akhil Mathew Abstract: Automated Fingerprint Identification Systems (AFIS) is deployed in law authorization and fringe control applications. This has elevated the requirement for guaranteeing that these frameworks are not traded off. A few issues identified with finger print analysis frameworks security have been explored. This includes the utilization of fake fingerprints for disguising personality. The issues of finger print alteration or jumbling has gotten almost no consideration. Fingerprint Obfuscation alludes to the planned change of the finger print pattern of a single person with the goal of veiling his personality. A few instances of unique finger print Obfuscation have been reported so far. Finger print image quality assessment software can't generally identify adjusted fingerprints. This paper highlights the significance of the issue by analyzing altered fingerprints and proposes an effective algorithm for them. Thu, 01 Jan 2015 00:00:00 GMT http://202.88.229.59:8080/xmlui/handle/123456789/692 2015-01-01T00:00:00Z http://202.88.229.59:8080/xmlui/handle/123456789/364 Title: FACE The most Attractive Biometric Authors: R, Reji Abstract: Face Recognition has become one of the most attractive research area among Computer Vision and Image processing researchers.This technique is one of the least intrusive modalities in biometrics.Face is the only biometric that allows us to perform passive detection. Biometrics is a science that could assist in this recognition process.There is a number of reasons to make face biometric to be superior compared to other biometric. Face Contain Anatomical information which is unique to each person and no physical interaction is needed.There is a growing need for an accurate and automatic human recognition procedure. Pattern recognition techniques are an important component of intelligent systems and are used for data processing and decision making.FACE recognition in 2-D and 3-D has been addressed using a variety of methods, including alignment, subregion matching,mapping, and principal component analysis (PCA). Sun, 01 Jan 2012 00:00:00 GMT http://202.88.229.59:8080/xmlui/handle/123456789/364 2012-01-01T00:00:00Z