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Periocular Region

About: Periocular Region is a research topic. Over the lifetime, 256 publications have been published within this topic receiving 4424 citations.


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Proceedings ArticleDOI
15 Sep 2013
TL;DR: The effect of using Lower Central Periocular Region (LCPR) for identification is investigated, and the results obtained are comparable with those acquired for full periocular texture features with an advantage of reducedPeriocular area.
Abstract: Biometrics is science of measuring and statistically analyzing biological data. Biometric system establishes identity of a person based on unique physical or behavioral characteristic possessed by an individual. Behavioral biometrics measures characteristics which are acquired naturally over time. Physical biometrics measures inherent physical characteristics on an individual. Over the last few decades enormous attention is drawn towards ocular biometrics. Cues provided by ocular region have led to exploration of newer traits. Feasibility of periocular region as a useful biometric trait has been explored recently. With the promising results of preliminary examination, research towards periocular region is currently gaining lot of prominence. Researchers have analyzed various techniques of feature extraction and classification in the periocular region. This paper investigates the effect of using Lower Central Periocular Region (LCPR) for identification. The results obtained are comparable with those acquired for full periocular texture features with an advantage of reduced periocular area.
Book ChapterDOI
01 Jan 2020
TL;DR: An understanding of the anatomy of the eye, orbit, eyelid, nasolacrimal system and periocular region is essential when considering a wide variety of disease that presents to the ophthalmic clinician.
Abstract: An understanding of the anatomy of the eye, orbit, eyelid, nasolacrimal system and periocular region is essential when considering the wide variety of disease that presents to the ophthalmic clinician.
Book ChapterDOI
01 Jan 2021
TL;DR: In this paper, an in-depth look at ocular adnexal sebaceous carcinoma including its epidemiology, pathogenesis, origins, clinical presentation, differential diagnoses, histology, diagnosis, management strategies, and prognosis is presented.
Abstract: Sebaceous carcinoma is a malignant neoplasm of the sebaceous glands, which is most often found in the periocular region. Periocular sebaceous carcinoma is frequently found arising from the meibomian glands within the tarsus, especially on the upper eyelid. Other ocular sites include the caruncle, Zeiss glands, eyebrow, and conjunctiva. The most common presentation of periocular sebaceous carcinoma is a fixed, non-painful eyelid nodule. Diagnosis of sebaceous carcinoma requires biopsy and histopathological examination. Given the neoplasm’s ability to undergo subclinical pagetoid spread, conjunctival map biopsies are recommended to help guide treatment of sebaceous carcinoma. The mainstay of treatment for sebaceous carcinoma is surgical excision of the primary lesion. Both wide local excision and Mohs micrographic surgery have been successfully employed for surgical management of the ocular neoplasm. This chapter takes an in-depth look at ocular adnexal sebaceous carcinoma including its epidemiology, pathogenesis, origins, clinical presentation, differential diagnoses, histology, diagnosis, management strategies, and prognosis.
Book ChapterDOI
01 Jan 2017
TL;DR: This chapter presents the experience gained with management and reconstruction of the periocular region in a large number of warfare injuries during the ongoing war in Iraq and Syria to reposition the canthal angles, and recreate an eyelid with an adequate fornix to enable the patient to be fit with an ocular prosthesis.
Abstract: This chapter presents our experience gained with management and reconstruction of the periocular region in a large number of warfare injuries during the ongoing war in Iraq and Syria. Most cases dealt with were subject to high-velocity projectiles and had devastating functional and esthetic consequences. The eye globes were either phthisical or evacuated at the combat zone without any orbital volume replacement. The patients presented to our center late with a delay of at least 2–3 weeks and had varying degrees of canthal dystopias, eyelid defects, and socket abnormalities. The major aim was to reposition the canthal angles, and recreate an eyelid with an adequate fornix to enable the patient to be fit with an ocular prosthesis.
Journal ArticleDOI
TL;DR: This thesis presents a novel Phase Intensive Global Pattern (PIGP) which is shown to able to extract gross as well as subtle features and work well for images without rotation and develops a post-reduction technique to reduce the feature vector size and thereby the matching time.
Abstract: The advent of biometric system as a next-generation solution towards bringing social and national security to a technically-achievable scenario. This paradigm of authentication has easily taken over the classical token-based and knowledge-based systems. The last decade has seen researches claiming face and iris to be the most promising two traits. Iris produces high accuracy with extremely high-resolution near-infrared (NIR) images, and face is capable of producing moderate accuracy even from low resolution images. To bridge the gap between these two, periocular (periphery of ocular) biometric came into highlight and researchers have initially established its ability to yield accurate recognition. This thesis attempts to design a periocular biometric system. Periocular region can be considered as the region around eye where features, that can participate in uniquely identifying an individual, are existing. So, starting from eye, while moving away from eye, periocular region ranges up to the portion where the skin becomes smooth and no feature is available. Hence periocular biometric, unlike most common segmentation application, cannot be localized through edge detection. The first part of the thesis investigates to identify four trait-specific localization techniques. For achieving perfect localization, (a) conformation of the localization to human anthropometry, (b) high accuracy from a localized image, (c) conformation to human judgement, and (d) subdivision of eye portion are done. The second part concentrates to design a suitable feature extraction method for periocular biometric. The thesis presents a novel Phase Intensive Global Pattern (PIGP) which is shown to able to extract gross as well as subtle features and work well for images without rotation. The next part of the thesis incorporates and ensures scale-invariant and rotation-invariant properties into PIGP, and this modified version is termed as Phase Intensive Local Pattern (PILP). PILP is experimentally proven to work well for NIR databases as well as visual-spectrum (VS) databases. Ability of PILP to identify large number of potential keypoints and extraction of high-dimensional (128D) feature from them results into the high accurate performance of PILP. However, this type of phase-difference based keypoint detection and oriented histogram based large feature extraction is extremely time-consuming and the feature vector, being so large, invites a reduction technique to be employed. The next part of the thesis hence develops a post-reduction technique to reduce the feature vector size and thereby the matching time. Reduced PILP (R-PILP) is developed from PILP by classifying keypoints through verifying the degree of monotonic nature in them. Experiments show that R-PILP is a little less accurate than PILP but R-PILP is faster as compared. All results in the thesis have been derived on four standard publicly available databases: BATH and CASIAv3 (NIR databases), and UBIRISv2 and FERETv4 (VS databases). Comparative analysis have been made with existing landmark techniques like Circular Local Binary Pattern (CLBP), Walsh Mask, Scale Invariant Feature Transform (SIFT), and Speeded Up Robust Features (SURF). It has been observed that these features consistently work equally well on NIR databases. However, performance of existing techniques degrade rapidly when experimented on VS databases. Though the proposed techniques suffers degradation, but outperforms the existing techniques with a high margin. The localization technique, and three progressively developed features PIGP, PILP, and R-PILP complete the objective of developing the periocular biometric system.

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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20221
202113
202032
201929
201815
201719