Periocular Region

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

Authentication of Facial Images with Masks Using Periocular Biometrics

Abstract: Due to COVID-19 pandemic, wearing a mask rapidly becomes a new social norm that people in the society should comply Although it is altruistic behavior preventing all people from serious infections, it brings about hassles for individuals For example, when a face is partly covered with a mask, identification using a face recognition is going to be malfunctioning To this end, we propose a novel computational framework that enables the personal authentication with a partial face image, a face covered with a mask For the experiments, we constructed the datasets of facial images containing the periocular regions only, extracted from full facial images covered with the mask Given the datasets, we trained our framework, a variant of a Siamese network, with various configuration of hyper-parameters As a result, RMSprop optimizer with the learning rate 1 \(\times \) 10–5 trained from periocular datasets showed the highest accuracy for the personal authentication Next, we conducted a comparative experiment with our proposal and the model trained with datasets containing the full facial regions When testing with the periocular region images, our proposal is superior in the authentication accuracy to that of the model trained with the full facial regions This result raises the optimistic expectation that in the era of COVID-19, facial images covered with mask can still be used for the authentication using face recognition at a nearly same level of accuracy This means that people can use the face recognition applications without taking off the mask, which provides the safe circumstances against the infections

Periocular Recognition from Low-Quality Iris Images

Abstract: Definitions of the periocular region vary, but typically encompass the skin covering the orbit of the eye. Especially in cases where the iris has not been acquired with sufficient quality to reliably compute an IrisCode, the periocular region can provide additional discriminative information for biometric identification. The NIR periocular images which form NIST’s Face and Ocular Challenge Series (FOCS) are characterized by large variations in illumination, eye-lid and eye-lash occlusion, de-focus blur, motion blur and low resolution. We investigate periocular recognition on the FOCS dataset using three distinct classes of features: photometric, keypoint, and frequency-based. We examine the performance of these features alone, in combination, and when fused with classic IrisCodes.

Primary cutaneous pleomorphic rhabdomyosarcoma in the periocular region.

Abstract: Cutaneous pleomorphic rhabdomyosarcoma (PRMS) is a rare malignant mesenchymal tumour which can affect all age ranges, though subcutaneous forms of this disease are uncommonly described. We present a case of a 77-year-old lady with a rapidly growing periocular lesion subsequently demonstrated on histopathological and immunohistochemical examination to be a PRMS. No orbital involvement was demonstrated and no distant metastases were evident. PRMSs represent highly aggressive and infiltrative tumours and must be recognized in a timely fashion to allow safe and adequate treatment. Alongside traditional histopathological examination, immunohistochemistry is invaluable in the diagnosis of this condition. PRMS is a mesenchymal tumour, which classically demonstrates skeletal muscle differentiation. Primary cutaneous PRMS is a rare variant of adult sarcoma, arising most commonly in the head and neck, or the soft tissues of the extremities. They occur almost exclusively in individuals over 45 years of age. PRMS arising in the dermis and subcutis is extremely rare, with few cases having been reported in the literature. To our knowledge, there are no previous case reports of adult primary cutaneous PRMS occurring in the periocular region in the English literature, and only one case is described in the French literature. A 77-year-old female presented with a 50 mm × 40 mm painless lesion of the left sub-brow area that had rapidly enlarged since appearing 3 months prior (Fig. 1). No palpable regional lymph nodes were detected. Magnetic resonance imaging did not demonstrate orbital invasion and a chest X-ray was normal. The lesion was removed in a one-stage excision and reconstruction, with histological examination of the mass revealing a pleomorphic spindle cell formation without evidence of lymphovascular or perineural infiltration. The lesion contained atypical spindle and epithelioid cells, with abundant mitoses. There was no connection to the overlying epidermis. Follow-up at 7 months demonstrated no clinical evidence of local recurrence and no distant disease. Immunohistochemical stains were positive for desmin (Fig. 2) and myogenin, and negative for CD31, H Caldesmon, CD68, S100, SOX10, pan melanin and MNF116. Myogenin stain was subsequently found to be positive. Rhabdomyosarcoma is a rare and aggressive tumour that can be found in any part of the body where skeletal muscle is present, though this is not a prerequisite to tumour formation. Rhabdomyosarcoma can broadly be split into four main histological sub types: pleomorphic, embryonal, alveolar and spindle cell/sclerosing. PRMS is the rarest subtype, occurring most commonly in elderly male patients. PRMS arising in the dermis and subcutis is rarely described. PRMS is most commonly found within the paediatric population, and is readily described within the orbit. Only one previous case of palpebral PRMS in the English literature is described, which occurred in a child. One further case of primary palpebral PRMS is described in the French literature. Similar to our case, both tumours grew rapidly and had a firm texture and blue discolouration. The rapidity of growth may help differentiate primary cutaneous PRMS from other malignant skin lesions. Histopathologically, PRMS is composed of large, atypical spindle cell rhabdomyoblasts, with abundant eosinophilic cytoplasm. Immunostains are

Periocular Segmentation Using K-Means Clustering Algorithm and Masking

Abstract: Biometrics are used widely to authenticate Humans to access various systems and devices in real-world applications. The Periocular region can be used to recognize an individual for identity management. In this paper, we propose the method using the K-Means algorithm to cluster. The image and then apply masking operations to extract features from the image.